├── LICENSE ├── .github └── ISSUE_TEMPLATE │ └── submission-template.md ├── ai-crypto-bot └── README.md ├── meme-art-generator └── README.md ├── model-fine-tuning-labs └── README.md ├── llm-api-aggregator └── README.md ├── gpu-function-service └── README.md ├── model-training-labs └── README.md ├── ai-agent-marketplace └── README.md ├── ai-manga-translator └── README.md ├── novel-reader-visualizer └── README.md ├── ai-celebrity-chatbot └── README.md ├── news-feed-analyzer └── README.md ├── ai-gf-bf-marketplace └── README.md ├── telegram-mini-app-game └── README.md └── README.md /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Spheron Network 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/submission-template.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Submission template 3 | about: 'This template covers all the required elements mentioned in the submission 4 | criteria. ' 5 | title: '' 6 | labels: '' 7 | assignees: '' 8 | 9 | --- 10 | 11 | # [Name of your project] 12 | 13 | ## Submitter Information 14 | - **Name:** [Your Name], **Email:** [Your Email] 15 | - **Name:** [Your Name], **Email:** [Your Email] 16 | 17 | ## Reward Address 18 | [Your wallet address for receiving bounty payments] 19 | 20 | ## Project Plan 21 | [Provide a detailed description of your project, including its goals, features, and implementation details] 22 | 23 | ## Repository 24 | [Provide the link to your project's repository] 25 | 26 | ## Demo 27 | - **App Link:** [URL to the live demo of your project] 28 | - **Video Demo:** [URL to a video demonstration of your project] 29 | 30 | ## Setup Instructions 31 | [Provide step-by-step instructions on how to set up and run your project] 32 | 33 | ## Spheron Infrastructure Usage 34 | [Explain in detail how you've utilized Spheron's infrastructure in your project] 35 | 36 | ## Checklist 37 | - [ ] Added appropriate bounty label 38 | - [ ] Provided all required information 39 | - [ ] Ensured demo links are working 40 | - [ ] Verified setup instructions are clear and complete 41 | -------------------------------------------------------------------------------- /ai-crypto-bot/README.md: -------------------------------------------------------------------------------- 1 | # 🤖 AI Crypto Bot Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$3,000** for creating an innovative AI Crypto Bot! This intelligent trading assistant will leverage AI to analyze market data and help users make informed trading decisions on crypto tokens. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an AI Crypto Bot that can: 10 | 11 | 1. 📊 Analyze various market indicators for different crypto tokens 12 | 2. 💡 Provide actionable buy/sell instructions based on comprehensive analysis 13 | 3. 🧠 Utilize open-source AI models to enhance analysis and decision-making 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Market Indicator Analysis 18 | 19 | - 📈 Analyze indicators such as moving averages, RSI, MACD, volume, etc. 20 | - ⏱️ Provide real-time analysis and updates based on latest market data 21 | 22 | ### 2. Trading Instructions 23 | 24 | - 💰 Implement clear buy/sell instructions for crypto tokens 25 | - 🧑‍🏫 Ensure instructions are based on comprehensive analysis and easily understandable 26 | 27 | ### 3. AI Model Integration 28 | 29 | - 🤖 Leverage open-source AI models to enhance analysis accuracy and reliability 30 | - 📈 Continuously improve model performance through training and optimization 31 | 32 | ### 4. User Interface 33 | 34 | - 💻 Design an intuitive UI for viewing analysis, receiving instructions, and managing portfolios 35 | - 📱 Ensure responsiveness across web and mobile platforms 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🐍 Backend: Python 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source AI models and tools 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the bot with additional indicators and tokens 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$3,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of market analysis and trading instruction generation 72 | 2. **User Experience**: UI intuitiveness and clarity of instructions 73 | 3. **Innovation**: Unique features or approaches that make the bot stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of real-time data and large-scale analysis 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the AI Crypto Bot. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions leveraging AI to create a powerful AI Crypto Bot! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /meme-art-generator/README.md: -------------------------------------------------------------------------------- 1 | # 🎨 Meme/Art Generator Platform Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative Meme/Art Generator Platform! This platform will empower users to create memes and art, showcasing their creations in a vibrant community gallery. Our goal is to foster creativity and engagement through visual content sharing. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop a Meme/Art Generator Platform that can: 10 | 11 | 1. 🖼️ Enable users to create memes and art 12 | 2. 🏛️ Showcase user-generated content in a community gallery 13 | 3. 🤝 Provide interactive features for users to engage with each other's creations 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Meme and Art Creation 18 | 19 | - 🛠️ Provide tools for meme and digital art creation 20 | - 🧰 Include features like text overlays, image uploads, drawing tools, and templates 21 | 22 | ### 2. Community Gallery 23 | 24 | - 🖼️ Implement a gallery for users to showcase their creations 25 | - 👀 Allow users to browse, like, comment, and share content 26 | 27 | ### 3. User Interaction 28 | 29 | - 💬 Enable interaction through likes, comments, and shares 30 | - 👤 Implement user profiles for creation management and interaction tracking 31 | 32 | ### 4. User Interface 33 | 34 | - 💻 Design an intuitive UI for creation, browsing, and interaction 35 | - 📱 Ensure responsiveness across web and mobile platforms 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🐍 Backend: Python 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source tools and libraries for meme/art creation 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the platform with additional features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$5,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of meme/art creation and content showcasing 72 | 2. **User Experience**: UI intuitiveness and engagement of creation/interaction tools 73 | 3. **Innovation**: Unique features or approaches that make the platform stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of large volumes of users and interactions 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the Meme/Art Generator Platform. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions that leverage creativity to build an engaging Meme/Art Generator Platform! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /model-fine-tuning-labs/README.md: -------------------------------------------------------------------------------- 1 | # 🧪 Model Fine-Tuning Labs Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative Model Fine-Tuning Labs app! This platform will provide a comprehensive suite of tools for model fine-tuning, enabling developers to enhance their machine learning models with ease and efficiency. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop a Model Fine-Tuning Labs app that can: 10 | 11 | 1. 🛠️ Provide a comprehensive suite of tools for model fine-tuning 12 | 2. 🚀 Enable efficient fine-tuning of machine learning models 13 | 3. 🔧 Support various machine learning frameworks and models 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Tool Integration 18 | 19 | - 🧰 Include tools for hyperparameter tuning, data augmentation, transfer learning, and evaluation metrics 20 | - 🔗 Ensure seamless integration and user experience across all tools 21 | 22 | ### 2. Framework Support 23 | 24 | - 📚 Support multiple ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) 25 | - 🔄 Enable model import/export across different frameworks 26 | 27 | ### 3. User Interface 28 | 29 | - 💻 Design an intuitive UI for accessing and utilizing fine-tuning tools 30 | - 📱 Ensure responsiveness across web and mobile platforms 31 | 32 | ### 4. Customization and Flexibility 33 | 34 | - ⚙️ Allow customization of the fine-tuning process 35 | - 💾 Provide options to save and load fine-tuning configurations and results 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🐍 Backend: Python 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source tools and libraries for development 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the app with additional tools and features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$5,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of tool integration and fine-tuning capabilities 72 | 2. **User Experience**: UI intuitiveness and ease of use for fine-tuning tools 73 | 3. **Innovation**: Unique features or approaches that make the app stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of various fine-tuning tasks and large data volumes 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the Model Fine-Tuning Labs app. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions in creating a powerful Model Fine-Tuning Labs app! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /llm-api-aggregator/README.md: -------------------------------------------------------------------------------- 1 | # 🌐 LLM API Aggregator Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$4,000** for creating an innovative LLM API Aggregator! This platform will provide a unified API compatible with OpenAI's API for inferencing various large language models (LLMs) through a single endpoint. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an LLM API Aggregator that can: 10 | 11 | 1. 🔗 Aggregate multiple open source large language models (LLMs) 12 | 2. 🔌 Provide a single, unified API compatible with OpenAI's API standards 13 | 3. 🚀 Simplify access and utilization of various LLMs through one API endpoint 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. API Aggregation 18 | 19 | - 🧩 Aggregate multiple open source LLMs from Hugging Face or other marketplaces 20 | - 🔗 Provide a unified API endpoint for seamless model access 21 | 22 | ### 2. OpenAI API Compatibility 23 | 24 | - 🔄 Ensure compatibility with OpenAI's API standards 25 | - 📡 Support similar endpoints, request formats, and response formats 26 | 27 | ### 3. Model Management 28 | 29 | - 🔀 Implement features to manage and switch between different LLMs 30 | - 🎛️ Allow users to specify which model to use for inferencing 31 | 32 | ### 4. User Interface 33 | 34 | - 💻 Design an intuitive UI for API key management, settings configuration, and usage monitoring 35 | - 📚 Provide comprehensive documentation and examples for easy onboarding 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🐍 Backend: Python 40 | - 🏗️ Ensure API scalability to handle large request volumes 41 | - 🛠️ Utilize open-source tools and libraries for the aggregation process 42 | 43 | ### 6. Documentation 44 | 45 | - 📘 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the platform with additional models and features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$4,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of LLM aggregation and unified API provision 72 | 2. **User Experience**: UI intuitiveness and API compatibility with OpenAI standards 73 | 3. **Innovation**: Unique features or approaches that make the platform stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of real-time requests and large data volumes 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the LLM API Aggregator. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions leveraging AI to create a powerful LLM API Aggregator! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /gpu-function-service/README.md: -------------------------------------------------------------------------------- 1 | # 🚀 GPU Function as a Service Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative GPU Function as a Service app! This platform will allow users to input Python functions and execute them on a schedule, leveraging GPU capabilities for efficient processing. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop a GPU Function as a Service app that can: 10 | 11 | 1. 📥 Accept Python functions as input 12 | 2. ⏰ Invoke functions based on scheduled triggers (e.g., cron jobs or custom schedules) 13 | 3. 🖥️ Utilize GPU capabilities for efficient function execution 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Function Input 18 | 19 | - 🐍 Allow users to input Python functions 20 | - 📝 Provide an interface for uploading or writing functions directly within the app 21 | 22 | ### 2. Scheduling 23 | 24 | - 🗓️ Implement flexible scheduling features (e.g., cron jobs, custom schedules) 25 | - ⚙️ Ensure easy configuration of function triggers 26 | 27 | ### 3. GPU Execution 28 | 29 | - 🎛️ Leverage GPU capabilities for efficient function execution 30 | - 🔌 Support GPU-accelerated libraries and frameworks 31 | 32 | ### 4. User Interface 33 | 34 | - 💻 Design an intuitive UI for function input, schedule setting, and execution management 35 | - 📱 Ensure responsiveness across web and mobile platforms 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🔧 Backend: Any preferred language with GPU support (e.g., Python, Go, Node.js) 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source tools and libraries for development 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the app with additional features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$5,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of function input, scheduling, and GPU-accelerated execution 72 | 2. **User Experience**: UI intuitiveness and seamless scheduling/execution processes 73 | 3. **Innovation**: Unique features or approaches that make the app stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of GPU-accelerated execution and large task volumes 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the GPU Function as a Service app. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions leveraging GPU capabilities to create a powerful GPU Function as a Service app! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /model-training-labs/README.md: -------------------------------------------------------------------------------- 1 | # 🧠 Model Training Labs Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$4,000** for creating an innovative Model Training Labs app! This platform will provide a comprehensive suite of tools for model training, enabling developers to train their machine learning models with ease and efficiency. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop a Model Training Labs app that can: 10 | 11 | 1. 🛠️ Provide a comprehensive suite of tools for model training 12 | 2. 🚀 Enable efficient training of machine learning models 13 | 3. 🔧 Support various machine learning frameworks and models 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Tool Integration 18 | 19 | - 🧰 Include tools for data preprocessing, model selection, hyperparameter tuning, training monitoring, and evaluation metrics 20 | - 🔗 Ensure seamless integration and user experience across all tools 21 | 22 | ### 2. Framework Support 23 | 24 | - 📚 Support multiple ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) 25 | - 🔄 Enable model import/export across different frameworks 26 | 27 | ### 3. User Interface 28 | 29 | - 💻 Design an intuitive UI for accessing and utilizing training tools 30 | - 📱 Ensure responsiveness across web and mobile platforms 31 | 32 | ### 4. Customization and Flexibility 33 | 34 | - ⚙️ Allow customization of the training process 35 | - 💾 Provide options to save and load training configurations and results 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🔧 Backend: Any preferred language (e.g., Python, Go, Node.js) 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source tools and libraries for development 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the app with additional tools and features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$4,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of tool integration and training capabilities 72 | 2. **User Experience**: UI intuitiveness and ease of use for training tools 73 | 3. **Innovation**: Unique features or approaches that make the app stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of various training tasks and large data volumes 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the Model Training Labs app. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions in creating a powerful Model Training Labs app! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /ai-agent-marketplace/README.md: -------------------------------------------------------------------------------- 1 | # 🤖 AI Agent Marketplace Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative AI Agent Marketplace! This platform will empower developers to showcase their AI creations and allow users to access a variety of AI agents for different purposes. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an AI Agent Marketplace that can: 10 | 11 | 1. 📤 Allow developers to submit their AI agents 12 | 2. 🔍 Enable users to browse, try, and pay for access to these AI agents 13 | 3. 💼 Provide a seamless payment and usage experience for both developers and users 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Developer Submissions 18 | 19 | - 📝 Allow developers to submit AI agents with descriptions, functionality, and pricing 20 | - 📊 Provide a dashboard for submission management, usage tracking, and payment receipt 21 | 22 | ### 2. User Access and Payment 23 | 24 | - 🔎 Implement browsing and searching features based on categories, ratings, etc. 25 | - 💰 Enable secure fee-based access to AI agents 26 | - 🔒 Ensure secure transactions and data protection 27 | 28 | ### 3. Payment System Integration 29 | 30 | - 💳 Integrate secure payment gateways for user-developer transactions 31 | - 📈 Provide transparent fee structures and transaction histories 32 | 33 | ### 4. User Interface 34 | 35 | - 🖥️ Design an intuitive UI for browsing, purchasing, and using AI agents 36 | - 📱 Create a developer dashboard for agent management and performance tracking 37 | 38 | ### 5. Technology Stack 39 | 40 | - 🐍 Backend: Python 41 | - 🌐 Frontend: Web application or mobile app 42 | - 🛠️ Utilize open-source tools and libraries for development 43 | 44 | ### 6. Documentation 45 | 46 | - 📚 Provide comprehensive setup, configuration, and usage instructions 47 | - 📝 Include guidelines for developer submissions and user access 48 | 49 | ### 7. Testing 50 | 51 | - 🧪 Conduct robust testing for various edge cases 52 | - ✅ Implement unit tests, integration tests, and end-to-end tests 53 | 54 | ## 💰 Bounty Details 55 | 56 | Participants can earn up to **$5,000** based on the features implemented in the app. 57 | 58 | ## 📤 Submission Guidelines 59 | 60 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 61 | - Your name 62 | - Email and contact details 63 | - Project details 64 | - Demo video 65 | - Demo link 66 | - GitHub repository details 67 | - Tech stack used 68 | 2. Submit the issue and reach out to our team on Discord for follow-up. 69 | 70 | ## 🏆 Evaluation Criteria 71 | 72 | 1. **Functionality**: Effectiveness of developer submissions, user access, and secure payments 73 | 2. **User Experience**: UI intuitiveness and seamless payment/usage processes 74 | 3. **Innovation**: Unique features or approaches that make the platform stand out 75 | 4. **Code Quality**: Well-structured, documented, and maintainable code 76 | 5. **Performance**: Efficient handling of large user volumes and transactions 77 | 78 | ## 📞 Contact Us 79 | 80 | For questions or clarifications: 81 | 82 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 83 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 84 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 85 | 86 | ## 🚀 Future Opportunities 87 | 88 | Successful participants may be eligible for additional grants to further develop and enhance the AI Agent Marketplace. Details will be provided to successful candidates. 89 | 90 | We're excited to see your innovative solutions in creating a powerful AI Agent Marketplace! 91 | 92 | Good luck! 🍀 93 | -------------------------------------------------------------------------------- /ai-manga-translator/README.md: -------------------------------------------------------------------------------- 1 | # 🎌 AI Manga Translator Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$3,000** for creating an innovative AI Manga Translator! This app will translate Japanese and Korean manga directly from images, leveraging open-source image-to-text models and large language models (LLMs) for accurate, context-aware translations. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an AI Manga Translator that can: 10 | 11 | 1. 📷 Translate Japanese and Korean manga directly from images 12 | 2. 🎯 Provide accurate and context-aware translations 13 | 3. 🧠 Utilize open-source image-to-text models and LLMs for enhanced translation 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Image-to-Text Conversion 18 | 19 | - 🔍 Extract text from manga images using open-source image-to-text models 20 | - 📊 Ensure high accuracy in text extraction, considering unique manga fonts and styles 21 | 22 | ### 2. Translation 23 | 24 | - 🈂️ Implement translation from Japanese and Korean to English (or other target languages) 25 | - 💡 Use LLMs for accurate, context-aware translations 26 | 27 | ### 3. User Interface 28 | 29 | - 💻 Design an intuitive UI for image upload, translation viewing, and history management 30 | - 📱 Ensure responsiveness across web and mobile platforms 31 | 32 | ### 4. AI Model Integration 33 | 34 | - 🖼️ Integrate open-source image-to-text models for text extraction 35 | - 🗣️ Utilize LLMs for high-quality, context-aware translations 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🔧 Backend: Any preferred language (e.g., Python, Go, Node.js) 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize open-source tools and libraries for development 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the app with additional languages and features 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$3,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Effectiveness of text extraction and translation accuracy 72 | 2. **User Experience**: UI intuitiveness and quality of context-aware translations 73 | 3. **Innovation**: Unique features or approaches that make the app stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of real-time text extraction and translation tasks 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the AI Manga Translator. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions leveraging AI to create a powerful AI Manga Translator! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /novel-reader-visualizer/README.md: -------------------------------------------------------------------------------- 1 | # 📚🎨 Novel Reader and Visualizer App Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$3,000** for creating an innovative Novel Reader and Visualizer App! 🚀 6 | 7 | This app should: 8 | 9 | - 🗣️ Read novels aloud 10 | - 🖼️ Create expressive image visuals based on the novel's context 11 | 12 | Our goal is to develop an intelligent app that leverages open-source large language models (LLMs), text-to-voice models, and text-to-art models to provide an immersive reading experience. 📖✨ 13 | 14 | ## 🎯 Objective 15 | 16 | Develop a Novel Reader and Visualizer App that can: 17 | 18 | 1. 🎙️ Read novels aloud using text-to-voice models 19 | 2. 🎨 Create expressive image visuals based on the novel's context using text-to-art models 20 | 3. 🧠 Utilize open-source LLMs to enhance the reading and visual experience 21 | 22 | ## 📋 Requirements 23 | 24 | ### 1. Text-to-Voice Reading 25 | 26 | - 🔊 Read novels aloud using high-quality text-to-voice models 27 | - 🗣️ Provide clear and expressive voice outputs 28 | 29 | ### 2. Context-Based Visuals 30 | 31 | - 🖼️ Generate images based on specific scenes in the novel 32 | - 🎭 Use text-to-art models for appealing and contextually relevant images 33 | 34 | ### 3. Integration with LLMs 35 | 36 | - 🤖 Use LLMs to understand context and generate descriptive prompts 37 | - 🌈 Enhance user experience with intelligent, context-aware visuals 38 | 39 | ### 4. User Interface 40 | 41 | - 💻 Develop an intuitive UI for novel selection, reading control, and visual display 42 | - ⚙️ Provide options to adjust reading speed, voice type, and visual settings 43 | 44 | ### 5. Technology Stack 45 | 46 | - 🔧 Backend: Any preferred language (e.g., Python, Go, Node.js) 47 | - 🖥️ Frontend: Web application or mobile app 48 | - 🛠️ Utilize available open-source LLMs, text-to-voice, and text-to-art models 49 | 50 | ### 6. Documentation 51 | 52 | - 📚 Comprehensive setup, configuration, and usage instructions 53 | - 📝 Guidelines for extending the app to support additional models and languages 54 | 55 | ### 7. Testing 56 | 57 | - 🧪 Robust testing for various edge cases 58 | - ✅ Include unit tests, integration tests, and end-to-end tests 59 | 60 | ## 💰 Bounty Details 61 | 62 | Participants can earn up to **$3,000** based on the implemented features. 63 | 64 | ## 📤 Submission Guidelines 65 | 66 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 67 | - Your name 68 | - Email and contact details 69 | - Project details 70 | - Demo video 71 | - Demo link 72 | - GitHub repository details 73 | - Tech stack used 74 | 2. Submit the issue and reach out to our team on Discord for follow-up. 75 | 76 | ## 🏆 Evaluation Criteria 77 | 78 | 1. **Functionality**: Effectiveness of novel reading and visual generation 79 | 2. **User Experience**: UI intuitiveness and quality of voice/visual outputs 80 | 3. **Innovation**: Unique features or approaches 81 | 4. **Code Quality**: Well-structured, documented, and maintainable code 82 | 5. **Performance**: Efficient handling of long texts and visual generation tasks 83 | 84 | ## 📞 Contact Details 85 | 86 | For questions or clarifications: 87 | 88 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 89 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 90 | 91 | ## 🚀 Further Grant Opportunities 92 | 93 | Successful participants may be eligible for additional grants to enhance the Novel Reader and Visualizer App. Details will be provided to successful candidates. 94 | 95 | We're excited to see your innovative solutions leveraging LLMs, text-to-voice, and text-to-art models! 💡🌟 96 | 97 | Good luck! 🍀 98 | -------------------------------------------------------------------------------- /ai-celebrity-chatbot/README.md: -------------------------------------------------------------------------------- 1 | # 🌟 AI Celebrity Chatbot Bounty 2 | 3 | ## 💡 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative AI Celebrity Chatbot! This chatbot will mimic the speech patterns of any celebrity, allowing users to engage in lifelike conversations. The project aims to leverage open-source large language models (LLMs) to simulate the unique personalities of various celebrities. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an AI Celebrity Chatbot that can: 10 | 11 | 1. 🗣️ Accurately mimic speech patterns and personalities of various celebrities 12 | 2. 💬 Enable interactive conversations with users, simulating the chosen celebrity 13 | 3. 🧠 Utilize open-source LLMs to enhance responses and interactivity 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Celebrity Speech Mimicking 18 | 19 | - 🎭 Accurately replicate speech patterns, vocabulary, and personality traits of chosen celebrities 20 | - 🌠 Offer a diverse selection of celebrities to choose from 21 | 22 | ### 2. Interactive Chatting 23 | 24 | - 🤖 Implement engaging, interactive conversations with the chatbot 25 | - 📝 Ensure responses are coherent, contextually relevant, and true to the celebrity's personality 26 | 27 | ### 3. LLM Integration 28 | 29 | - 💡 Leverage LLMs to generate realistic and captivating responses 30 | - 🌈 Enhance user experience with intelligent, context-aware conversations 31 | 32 | ### 4. User Interface 33 | 34 | - 💻 Design an intuitive UI for celebrity selection, conversation management, and settings 35 | - ⚙️ Provide options to adjust chatbot response style and other preferences 36 | 37 | ### 5. Technology Stack 38 | 39 | - 🐍 Backend: Python 40 | - 🖥️ Frontend: Web application or mobile app 41 | - 🛠️ Utilize available open-source LLMs 42 | 43 | ### 6. Documentation 44 | 45 | - 📚 Provide comprehensive setup, configuration, and usage instructions 46 | - 📝 Include guidelines for extending the chatbot to support additional celebrities and languages 47 | 48 | ### 7. Testing 49 | 50 | - 🧪 Conduct robust testing for various edge cases 51 | - ✅ Implement unit tests, integration tests, and end-to-end tests 52 | 53 | ## 💰 Bounty Details 54 | 55 | Participants can earn up to **$5,000** based on the features implemented in the app. 56 | 57 | ## 📤 Submission Guidelines 58 | 59 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 60 | - Your name 61 | - Email and contact details 62 | - Project details 63 | - Demo video 64 | - Demo link 65 | - GitHub repository details 66 | - Tech stack used 67 | 2. Submit the issue and reach out to our team on Discord for follow-up. 68 | 69 | ## 🏆 Evaluation Criteria 70 | 71 | 1. **Functionality**: Accuracy in mimicking celebrity speech patterns and personalities 72 | 2. **User Experience**: UI intuitiveness and quality of chatbot interactions 73 | 3. **Innovation**: Unique features or approaches that make the chatbot stand out 74 | 4. **Code Quality**: Well-structured, documented, and maintainable code 75 | 5. **Performance**: Efficient handling of real-time conversations and large interaction volumes 76 | 77 | ## 📞 Contact Us 78 | 79 | For questions or clarifications: 80 | 81 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 82 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 83 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 84 | 85 | ## 🚀 Future Opportunities 86 | 87 | Successful participants may be eligible for additional grants to further develop and enhance the AI Celebrity Chatbot. Details will be provided to successful candidates. 88 | 89 | We're excited to see your innovative solutions leveraging LLMs to create a captivating AI Celebrity Chatbot! 90 | 91 | Good luck! 🍀 92 | -------------------------------------------------------------------------------- /news-feed-analyzer/README.md: -------------------------------------------------------------------------------- 1 | # 📰 News Feed Analyzer Agent Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$3,000** for creating an innovative News Feed Analyzer Agent! This intelligent agent will provide comprehensive summaries of the latest news based on user interests, leveraging open-source LLMs, ScrapeGraph AI, and tools like LangChain. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop a News Feed Analyzer Agent that can: 10 | 11 | 1. 🗞️ Aggregate news from various sources 12 | 2. 🔍 Analyze content based on user-defined interests 13 | 3. 📝 Provide concise and comprehensive summaries of the latest news 14 | 4. 📧 Allow email subscriptions with customizable frequency 15 | 16 | ## 📋 Requirements 17 | 18 | ### 1. Aggregation 19 | 20 | - 📊 Fetch news from multiple sources (RSS feeds, APIs, ScrapeGraph AI) 21 | - ⚙️ Allow users to configure preferred news outlets 22 | 23 | ### 2. Interest-Based Analysis 24 | 25 | - 👤 Implement user profile management for interests 26 | - 🧠 Use OSS LLMs to match articles with user interests 27 | 28 | ### 3. Summarization 29 | 30 | - 📄 Generate concise article summaries using LLMs 31 | - 🌐 Summarize overall news landscape 32 | - 💡 Ensure coherent and insightful summaries 33 | 34 | ### 4. Email Subscription 35 | 36 | - ✉️ Enable email address subscriptions 37 | - ⏱️ Allow customizable email frequency (e.g., daily, weekly) 38 | - 🚀 Send automated emails with analyzed news feeds 39 | 40 | ### 5. User Interface 41 | 42 | - 💻 Design intuitive UI for preference configuration and summary viewing 43 | - 🔎 Provide options to access detailed article views 44 | 45 | ### 6. Technology Stack 46 | 47 | - 🐍 Backend: Python or FastAPI 48 | - 🖥️ Frontend: React or Next.js web/mobile app 49 | - 🛠️ Utilize open-source LLMs, ScrapeGraph AI, and LangChain 50 | 51 | ### 7. Documentation 52 | 53 | - 📚 Provide comprehensive setup, configuration, and usage instructions 54 | - 📝 Include guidelines for extending with additional sources and languages 55 | 56 | ### 8. Testing 57 | 58 | - 🧪 Conduct robust testing for various edge cases 59 | - ✅ Implement unit tests, integration tests, and end-to-end tests 60 | 61 | ## 💰 Bounty Details 62 | 63 | Participants can earn up to **$3,000** based on the features implemented in the app. 64 | 65 | ## 📤 Submission Guidelines 66 | 67 | 1. Create an issue in the [bounty repository](https://github.com/YourOrganization/BountyRepo) including: 68 | - Your name 69 | - Email and contact details 70 | - Project details 71 | - Demo video 72 | - Demo link 73 | - GitHub repository details 74 | - Tech stack used 75 | 2. Submit the issue and reach out to our team on Discord for follow-up. 76 | 77 | ## 🏆 Evaluation Criteria 78 | 79 | 1. **Functionality**: Effectiveness of news aggregation, analysis, and summarization 80 | 2. **User Experience**: UI intuitiveness and summary usefulness 81 | 3. **Innovation**: Unique features or approaches that make the agent stand out 82 | 4. **Code Quality**: Well-structured, documented, and maintainable code 83 | 5. **Performance**: Efficient handling of large volumes of news articles 84 | 85 | ## 📞 Contact Us 86 | 87 | For questions or clarifications: 88 | 89 | - **Discord**: Join our [Discord server](https://discord.gg/YourCommunity) and visit the #bounties channel 90 | - **Community Forum**: Post in the [Community Forum](https://community.yourwebsite.com/) 91 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/YourOrganization/BountyRepo/issues) 92 | 93 | ## 🚀 Future Opportunities 94 | 95 | Successful participants may be eligible for additional grants to further develop and enhance the News Feed Analyzer Agent. Details will be provided to successful candidates. 96 | 97 | We're excited to see your innovative solutions leveraging LLMs, ScrapeGraph AI, and LangChain to create a powerful News Feed Analyzer Agent! 98 | 99 | Good luck! 🍀 100 | -------------------------------------------------------------------------------- /ai-gf-bf-marketplace/README.md: -------------------------------------------------------------------------------- 1 | # 💖 AI Girlfriend/Boyfriend Marketplace Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$5,000** for creating an innovative AI Girlfriend/Boyfriend Marketplace! This platform will allow users to list and interact with fine-tuned AI models of virtual companions, leveraging large language models (LLMs) to create personalized and engaging experiences. 6 | 7 | ## 🎯 Objective 8 | 9 | Develop an AI Girlfriend/Boyfriend Marketplace that can: 10 | 11 | 1. 📝 Allow users to list their fine-tuned AI models of virtual girlfriends or boyfriends 12 | 2. 🔍 Enable users to browse and chat with these AI agents 13 | 3. 🧠 Utilize open-source LLMs to enhance AI agents' interactivity and personalization 14 | 15 | ## 📋 Requirements 16 | 17 | ### 1. Listing and Browsing 18 | 19 | - 📊 Enable users to list their fine-tuned AI models 20 | - 👤 Provide detailed profiles for each AI model 21 | - 🔎 Implement search and filter functionality based on various criteria 22 | 23 | ### 2. Interactive Chatting 24 | 25 | - 💬 Implement engaging, interactive conversations with AI agents 26 | - 🎭 Ensure responses are coherent and reflective of listed personality traits 27 | 28 | ### 3. LLM Integration 29 | 30 | - 💡 Leverage LLMs to generate realistic and captivating responses 31 | - 🌈 Enhance user experience with intelligent, context-aware conversations 32 | 33 | ### 4. User Interface 34 | 35 | - 💻 Design an intuitive UI for listing, browsing, and interacting with AI agents 36 | - ⚙️ Provide options to customize chat experiences and manage interactions 37 | 38 | ### 5. Marketplace Features 39 | 40 | - 💰 Implement a secure payment system for purchasing access to AI agents 41 | - 🔒 Ensure secure transactions and protect user data 42 | 43 | ### 6. Technology Stack 44 | 45 | - 🐍 Backend: Python 46 | - 🖥️ Frontend: Web application or mobile app 47 | - 🛠️ Utilize available open-source LLMs 48 | 49 | ### 7. Documentation 50 | 51 | - 📚 Provide comprehensive setup, configuration, and usage instructions 52 | - 📝 Include guidelines for extending the platform with additional models and features 53 | 54 | ### 8. Testing 55 | 56 | - 🧪 Conduct robust testing for various edge cases 57 | - ✅ Implement unit tests, integration tests, and end-to-end tests 58 | 59 | ## 💰 Bounty Details 60 | 61 | Participants can earn up to **$5,000** based on the features implemented in the app. 62 | 63 | ## 📤 Submission Guidelines 64 | 65 | 1. Create an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty) including: 66 | - Your name 67 | - Email and contact details 68 | - Project details 69 | - Demo video 70 | - Demo link 71 | - GitHub repository details 72 | - Tech stack used 73 | 2. Submit the issue and reach out to our team on Discord for follow-up. 74 | 75 | ## 🏆 Evaluation Criteria 76 | 77 | 1. **Functionality**: Effectiveness of listing, browsing, and interacting with AI agents 78 | 2. **User Experience**: UI intuitiveness and quality of AI agent interactions 79 | 3. **Innovation**: Unique features or approaches that make the platform stand out 80 | 4. **Code Quality**: Well-structured, documented, and maintainable code 81 | 5. **Performance**: Efficient handling of large volumes of users and interactions 82 | 83 | ## 📞 Contact Us 84 | 85 | For questions or clarifications: 86 | 87 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 88 | - **Community Forum**: Post in the [Community Forum](https://community.spheron.network/) 89 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 90 | 91 | ## 🚀 Future Opportunities 92 | 93 | Successful participants may be eligible for additional grants to further develop and enhance the AI Girlfriend/Boyfriend Marketplace. Details will be provided to successful candidates. 94 | 95 | We're excited to see your innovative solutions leveraging LLMs to create a captivating AI Girlfriend/Boyfriend Marketplace! 96 | 97 | Good luck! 🍀 98 | -------------------------------------------------------------------------------- /telegram-mini-app-game/README.md: -------------------------------------------------------------------------------- 1 | # 🏀🎮 Telegram Mini App Game Bounty 2 | 3 | ## 🌟 Overview 4 | 5 | We're thrilled to announce a bounty of up to **$ ** for creating an engaging Telegram Mini App Game using Spheron's decentralized GPU network and integrating Web3 components! 🚀 6 | 7 | This game should: 8 | 9 | - 🎮 Be playable within Telegram 10 | - 🖥️ Utilize decentralized GPU resources for enhanced functionality 11 | - 🌐 Incorporate Web3 elements and be deployable on any blockchain 12 | 13 | Our goal is to develop an innovative and captivating game that leverages Spheron's decentralized GPU network and Web3 technologies, providing a seamless and immersive gaming experience. 🎲✨ 14 | 15 | ## 🎯 Objective 16 | 17 | Develop a Telegram Mini App Game that can: 18 | 19 | 1. 🎮 Provide an engaging and enjoyable gaming experience within Telegram 20 | 2. 🖥️ Utilize decentralized GPU resources for game processing and functionality 21 | 3. 🌐 Integrate smoothly with the Telegram Mini App framework 22 | 4. 🌍 Incorporate Web3 components and be deployable on any blockchain 23 | 24 | ## 📋 Requirements 25 | 26 | ### 1. Gameplay 27 | 28 | - 🎯 Develop a captivating and interactive game 29 | - 🕹️ Ensure smooth gameplay and user interaction 30 | 31 | ### 2. GPU Utilization 32 | 33 | - 🖥️ Leverage Spheron's decentralized GPU network for game functionality 34 | - ⚡ Optimize game performance using GPU resources 35 | 36 | ### 3. Telegram Integration 37 | 38 | - 📱 Build the game as a Telegram Mini App 39 | - 🌐 Ensure seamless integration and functionality within the Telegram environment 40 | 41 | ### 4. Web3 Integration 42 | 43 | - 🌍 Incorporate Web3 elements (e.g., NFTs, token rewards, smart contracts) 44 | - ⛓️ Enable deployment on any blockchain of your choice 45 | 46 | ### 5. User Interface 47 | 48 | - 💻 Develop an intuitive and user-friendly UI as Telegram Mini App 49 | - 🖌️ Provide engaging graphics and visual elements 50 | 51 | ### 6. Technology Stack 52 | 53 | - 🔧 Backend: Any preferred language (e.g., Python, Go, Node.js) 54 | - 🖥️ Frontend: Web application or mobile app 55 | - 🛠️ Utilize Spheron's decentralized GPU network, Telegram Mini App, and Web3 technologies 56 | 57 | ### 7. Documentation 58 | 59 | - 📚 Comprehensive setup, configuration, and usage instructions 60 | - 📝 Guidelines for extending the app to support additional features and improvements 61 | 62 | ### 8. Testing 63 | 64 | - 🧪 Robust testing for various edge cases 65 | - ✅ Include unit tests, integration tests, and end-to-end tests 66 | 67 | ## 💰 Bounty Details 68 | 69 | Participants can earn up to **$ ** based on the implemented features. 70 | 71 | ## 📤 Submission Guidelines 72 | 73 | 1. Create an issue in the [bounty repository](https://github.com/spheronFdn/sos-ai-bounty) including: 74 | - Your name 75 | - Email and contact details 76 | - Project details 77 | - Demo video 78 | - Demo link 79 | - GitHub repository details 80 | - Tech stack used 81 | 2. Submit the issue and reach out to our team on Discord for follow-up. 82 | 83 | ## 🏆 Evaluation Criteria 84 | 85 | 1. **Functionality**: Effectiveness of the game, GPU utilization, and Web3 integration 86 | 2. **User Experience**: UI intuitiveness and quality of gameplay 87 | 3. **Innovation**: Unique features or approaches 88 | 4. **Code Quality**: Well-structured, documented, and maintainable code 89 | 5. **Performance**: Efficient handling of game processing, GPU resources, and Web3 elements 90 | 91 | ## 📞 Contact Details 92 | 93 | For questions or clarifications: 94 | 95 | - **Discord**: Join our [Discord server](https://sphn.wiki/discord) and visit the #bounties channel 96 | - **Telegram**: Join Rabble's [Telegram group](https://t.me/+rFqLyk4_W-diZDZl) and ask your queries. 97 | - **GitHub Issue**: Open an issue in the [bounty repository](https://github.com/spheronfdn/sos-ai-bounty/issues) 98 | 99 | ## 🚀 Further Grant Opportunities 100 | 101 | Successful participants may be eligible for additional grants to enhance the Telegram Mini App Game. Details will be provided to successful candidates. 102 | 103 | We're excited to see your innovative solutions leveraging Spheron's decentralized GPU network, Web3 technologies, and the Telegram Mini App framework! 💡🌟 104 | 105 | Good luck! 🍀 106 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | > ## 🚨 Note: All bounties have been closed. If you’re excited to build on Spheron, fill out [this form](https://forms.gle/QMpj8BMELqpXBa9w5) — our team would love to connect with you! 2 | 3 |

4 | 5 | 6 | 7 | 8 | Spheron Bounty Program 9 | 10 |

11 | 12 |

13 | 14 | 15 | 16 |

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18 | 19 | # 🚀 Welcome to the Spheron Bounty Program 🌐 20 | 21 | Welcome to the [Spheron](https://www.spheron.network/) Bounty Program! 🎉 We're on a mission to revolutionize decentralized GPU accessibility, and we want YOU to be a part of it! 22 | 23 | Our goal? To inspire developers like you to create cutting-edge applications using Spheron's Decentralized GPU Network & Partner layers. Whether it's AI Bots, Models, Agent Store, or beyond - the sky's the limit! 24 | 25 | By participating, you'll not only be shaping the future of DePIN Compute but also helping us refine our developer tools and enhance the overall experience. Ready to make your mark? Let's dive in! 🏊‍♂️ 26 | 27 | >> **Important Note:** If a team is simply using Spheron for deploying their code, we can support them with compute credits instead of stablecoins. However, if a team integrates the Spheron SDK and builds use cases around it, they will qualify for stablecoin support. 28 | 29 | ## 📃 Table of Content 30 | 31 | - [Bounty Allocation](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-bounty-allocation) 32 | - [Bounty List](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-bounty-list) 33 | - [General Submission Guidelines](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-general-submission-guidelines) 34 | - [Evaluation Criteria](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-evaluation-criteria) 35 | - [Good Example](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-good-example) 36 | - [Bad Example](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-bad-example) 37 | - [Code Quality](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-code-quality) 38 | - [FAQ](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-faq) 39 | 40 | ## 💰 Bounty Allocation 41 | 42 | 🎁 Total Bounty Pool: **$50,000** 43 | 44 | But wait, there's more! 🔥 45 | 46 | - Bounty prizes will increase as we bring more partners on board. 47 | - All developers get 72 hours of unrestricted GPU access. How cool is that? 48 | - To access these GPUs, simply head to our [discord](https://sphn.wiki/discord) & ask for it on the build-chat group. 49 | 50 | 🖥️ Available GPUs: 51 | 52 | - RTX3090 53 | - RTX4090 54 | - A6000 55 | 56 | Stay tuned for even more high-end servers coming soon! 👀 57 | 58 | ## 🏆 Bounty List 59 | 60 | Flex your coding muscles using popular open-source frameworks like Langchain, Huggingface, FastApi, vLLM, Ray, and more! 61 | 62 | 1. 📰[News Feed Analyzer Agent](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-news-feed-analyzer-agent) `$3,000` 63 | 2. 📚[ Novel Reader and Visualizer App](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-novel-reader-and-visualizer-app) `$3,000` 64 | 3. 🌟[ AI Celebrity Chatbot](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-ai-celebrity-chatbot) `$5,000` 65 | 4. ❤️[ AI Girlfriend/Boyfriend Marketplace](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#%EF%B8%8F-ai-girlfriendboyfriend-marketplace) `$5,000` 66 | 5. 😂[ Meme/Art Generator Platform](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-memeart-generator-platform) `$5,000` 67 | 6. 💹[ AI Crypto Bot](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-ai-crypto-bot) `$3,000` 68 | 7. 🧠[ LLM API Aggregator](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-llm-api-aggregator) `$4,000` 69 | 8. 🤖[ AI Agent Marketplace](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-ai-agent-marketplace) `$5,000` 70 | 9. 🗾[ AI Manga Translator](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-ai-manga-translator) `$3,000` 71 | 10. ⚡[ GPU Function as a Service](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-gpu-function-as-a-service) `$5,000` 72 | 11. 🧪[ Model Fine-Tuning Labs](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-model-fine-tuning-labs) `$5,000` 73 | 12. 🏋️[ Model Training Labs](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#%EF%B8%8F-model-training-labs) `$4,000` 74 | 13. 🏀[Telegram Mini App Game](https://github.com/spheronFdn/sos-ai-bounty?tab=readme-ov-file#-telegram-mini-app-game) `TBD` 75 | 76 | 77 | 78 | ### 📰 News Feed Analyzer Agent 79 | 80 | **Description**: Create an AI news guru that summarizes the latest buzz based on user interests. 81 | 82 | **Reward**: 💸 $3,000 83 | 84 | **Key Requirements**: 85 | 86 | - 🤖 Develop a news-savvy AI agent 87 | - 📊 Serve up detailed summaries tailored to user interests 88 | 89 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 90 | 91 | **Submit your masterpiece**: Add `news-feed-analyzer` label on your issue 92 | 93 | ### 📚 Novel Reader and Visualizer App 94 | 95 | **Description**: Bring stories to life with an app that reads novels aloud and conjures up magical visuals! 96 | 97 | **Reward**: 💸 $3,000 98 | 99 | **Key Requirements**: 100 | 101 | - 🗣️ Harness open-source LLM, text-to-voice, and text-to-art models 102 | - 🎨 Craft a user interface that even your grandma would love 103 | 104 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 105 | 106 | **Submit your creation**: Add `novel-reader-visualizer` label on your issue 107 | 108 | ### 🌟 AI Celebrity Chatbot 109 | 110 | **Description**: Create a chatbot that channels your favorite celeb's vibes! 111 | 112 | **Reward**: 💸 $5,000 113 | 114 | **Key Requirements**: 115 | 116 | - 🎭 Develop a chatbot that nails a chosen celebrity's essence 117 | - 💬 Ensure engaging, on-point interactions 118 | 119 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 120 | 121 | **Submit your star**: Add `ai-celebrity-chatbot` label on your issue 122 | 123 | ### ❤️ AI Girlfriend/Boyfriend Marketplace 124 | 125 | **Description**: Build a love nest for AI companions where users can chat and mingle! 126 | 127 | **Reward**: 💸 $5,000 128 | 129 | **Key Requirements**: 130 | 131 | - 💘 Develop a swoon-worthy marketplace platform 132 | - 🤖 Enable interactions with finetuned AI models 133 | 134 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 135 | 136 | **Submit your love story**: Add `ai-gf-bf-marketplace` label on your issue 137 | 138 | ### 😂 Meme/Art Generator Platform 139 | 140 | **Description**: Create a meme/art factory with a built-in community showcase! 141 | 142 | **Reward**: 💸 $5,000 143 | 144 | **Key Requirements**: 145 | 146 | - 🎭 Develop a meme/art generator that'd make even Picasso jealous 147 | - 🖼️ Build a community gallery to show off the creations 148 | 149 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 150 | 151 | **Submit your masterpiece**: Add `meme-art-generator` label on your issue 152 | 153 | ### 💹 AI Crypto Bot 154 | 155 | **Description**: Build a crypto whiz bot that analyzes tokens and dishes out buy/sell advice! 156 | 157 | **Reward**: 💸 $3,000 158 | 159 | **Key Requirements**: 160 | 161 | - 📊 Analyze crypto tokens like a pro 162 | - 💡 Provide actionable buy/sell recommendations 163 | 164 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 165 | 166 | **Submit your money-maker**: Add `ai-crypto-bot` label on your issue 167 | 168 | ### 🧠 LLM API Aggregator 169 | 170 | **Description**: Create the Swiss Army knife of LLM APIs! 171 | 172 | **Reward**: 💸 $4,000 173 | 174 | **Key Requirements**: 175 | 176 | - 🔗 Develop an API that brings together various LLMs 177 | - 🤝 Play nice with OpenAI API standards 178 | 179 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 180 | 181 | **Submit your brainchild**: Add `llm-api-aggregator` label on your issue 182 | 183 | ### 🤖 AI Agent Marketplace 184 | 185 | **Description**: Build an AI agent bazaar where devs can showcase their creations and users can take them for a spin! 186 | 187 | **Reward**: 💸 $5,000 188 | 189 | **Key Requirements**: 190 | 191 | - 🏪 Develop a bustling marketplace platform 192 | - 💳 Implement robust payment and usage tracking systems 193 | 194 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 195 | 196 | **Submit your marketplace**: Add `ai-agent-marketplace` label on your issue 197 | 198 | ### 🗾 AI Manga Translator 199 | 200 | **Description**: Create a magical app that translates Japanese/Korean manga straight from the images! 201 | 202 | **Reward**: 💸 $3,000 203 | 204 | **Key Requirements**: 205 | 206 | - 📸 Leverage open-source image-to-text and LLM models 207 | - 🎯 Nail the translation and image processing accuracy 208 | 209 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 210 | 211 | **Submit your translation wonder**: Add `ai-manga-translator` label on your issue 212 | 213 | ### ⚡ GPU Function as a Service 214 | 215 | **Description**: Build an app that runs Python functions on a schedule you can tweak! 216 | 217 | **Reward**: 💸 $5,000 218 | 219 | **Key Requirements**: 220 | 221 | - ⏰ Develop a service to schedule and execute Python functions 222 | - 🔧 Allow users to customize schedules to their heart's content 223 | 224 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 225 | 226 | **Submit your time-bender**: Add `gpu-function-service` label on your issue 227 | 228 | ### 🧪 Model Fine-Tuning Labs 229 | 230 | **Description**: Create a playground for model fine-tuning enthusiasts! 231 | 232 | **Reward**: 💸 $5,000 233 | 234 | **Key Requirements**: 235 | 236 | - 🛠️ Provide a toolkit for fine-tuning various models 237 | - 😊 Ensure even your non-tech-savvy friend could use the interface 238 | 239 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 240 | 241 | **Submit your lab**: Add `model-fine-tuning-labs` label on your issue 242 | 243 | ### 🏋️ Model Training Labs 244 | 245 | **Description**: Build a gymnasium for model training! 246 | 247 | **Reward**: 💸 $4,000 248 | 249 | **Key Requirements**: 250 | 251 | - 🏋️‍♀️ Provide tools for training various models 252 | - 🖱️ Create an interface so user-friendly, it practically uses itself 253 | 254 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage 255 | 256 | **Submit your gym**: Add `model-training-labs` label on your issue 257 | 258 | ### 🏀 Telegram Mini App Game 259 | 260 | **Description**: Build an addictive Telegram Mini App Game using GPUs! 261 | 262 | **Reward**: 💸 $ 263 | 264 | **Key Requirements**: 265 | 266 | - 🎮 Create an engaging Web3 game as a Telegram Mini App 267 | - 🕹️ Ensure seamless GPU-powered performance 268 | 269 | **Tech Stack**: Spheron GPU & CPU, Decentralized storage, Telegram Mini App 270 | 271 | **Submit your gym**: `telegram-mini-app-game` directory 272 | 273 | ## 📝 General Submission Guidelines 274 | 275 | For each bounty, please follow these steps: 276 | 277 | 1. 🎬 Create an issue to submit your bounty: 278 | 279 | - Title: [Name of your project] 280 | - Content: 281 | - Your name and email 282 | - Reward address (for receiving bounty payments) 283 | - Detailed project plan 284 | - Repository details (provide link) 285 | - Demo of the project (provide app link and a video) 286 | - Detailed setup instructions 287 | - Specific usage of Spheron infrastructure in your project 288 | - Add the appropriate bounty label from the label section 289 | 290 | 2. 🚀 In your project repository: 291 | - 📚 Include comprehensive documentation (setup & usage) 292 | - 📄 Ensure your project is well-documented with a clear README file that includes: 293 | - Project overview 294 | - Setup instructions 295 | - Usage guidelines 296 | - Contribution guidelines 297 | - 💻 Write clear and concise comments within your code to make it easier for others (and future you) to understand the logic and structure. 298 | - 🎬 Provide example use cases or a demo 299 | 300 | ### Make Sure to fulfill this requierments 301 | 302 | 1. **Clear Identification:** Make sure it's easy to see what changes or new code you've introduced. 303 | 2. **Stable URL:** Use a stable URL that won't change after submission. 304 | 3. **Easy Access:** Ensure that anyone visiting the URL can easily understand your work without needing to look through additional resources. 305 | 4. **Extendability:** Others should be able to build on your work, whether it's complete or still in progress. 306 | 5. **Completion Status:** If your work is 100% complete, anyone should be able to use it. If your work is not 100% complete, it should be clear what's left to do. 307 | 308 | We'll review your submission based on the information provided in your issue and the linked project repository. 309 | 310 | ## 🏅 Evaluation Criteria 311 | 312 | We'll be looking at: 313 | 314 | - 🏆 Code quality and documentation (make it sparkle!) 315 | - ✅ Functionality and adherence to bounty requirements 316 | - 🎨 User experience and interface design (where applicable) 317 | - 💡 Innovation and creativity (blow our minds!) 318 | 319 | ## 👍 Good Example 320 | 321 | You don't have to do all (or any) of these things, but these are some ways you can satisfy the requirements. 322 | 323 | - Create a blog post, web page, or public GitHub gist that showcases the work you've completed, including links to the commits, repositories, and pull requests you've contributed to. This approach is ideal for sharing comprehensive details about your work, making it easy for others to review and understand your contributions. 324 | 325 | - If using GitHub, and all of your work is contained within a single pull request, link directly to that PR. Ensure that the pull request description is thorough, highlighting the specific tasks completed during the project. 326 | 327 | For a GitHub repository created, consider adding a detailed README.md file. This will provide additional context and clarity for anyone reviewing your work. 328 | 329 | ## 👎 Bad Example 330 | 331 | Heres more examples of things you shouldn't do: 332 | 333 | - Don't upload a big zip file with all your project files or source code. It's overwhelming and doesn't help people understand your work. 334 | 335 | - Don't just link to the main page of the project's source code repository. For example, linking to the top page of Python's GitHub repository isn't helpful. 336 | 337 | - Avoid linking to your personal copy of the project's source code. It mixes your changes with others and makes it hard to see what you've done. 338 | 339 | - Link to a huge log of all the project’s commits. This just floods the reader with too much information and doesn't highlight your specific contributions. 340 | 341 | - Share a screenshot of your code instead of the actual code. This makes it impossible for others to review or use your work effectively. 342 | 343 | - Link to a personal blog that just mentions you worked on the project without any real details. This doesn’t provide any useful information about your contributions. 344 | 345 | - Upload your code as a PDF file. This makes it hard to review, edit, or understand, especially for larger projects. 346 | 347 | - Share a link to a random page in the project’s documentation. This doesn’t show your specific work and just confuses people. 348 | 349 | - Link to a massive text file with no formatting or context. This is overwhelming and makes it difficult to find your relevant contributions. 350 | 351 | ## Code Quality 352 | 353 | 1. Code Style 354 | >Adhere to a consistent code style throughout the project. Consider using linters to enforce these standards automatically. 355 | 356 | 2. Testing 357 | >Write and maintain tests for your code to ensure functionality and to prevent regressions. Prioritize both unit and integration tests. 358 | 359 | 3. Meaningful Logs 360 | >Implement logging throughout your application to help with debugging and monitoring in project. Ensure logs are meaningful and do not expose sensitive information. 361 | 362 | 4. API Design & Security 363 | >If your project involves APIs, follow best practices in API design. Ensure your API is secure, well-documented, and follows consistent naming conventions. 364 | 365 | 5. Documentation 366 | >Provide clear documentation for any APIs your project includes, covering all endpoints, expected inputs, and outputs. 367 | 368 | 6. User Accessibility 369 | >Design your project with accessibility in mind. Ensure it is usable by as wide an audience as possible. 370 | 371 | By following these guidelines, you'll ensure your project is not only functional but also maintainable, accessible, and easy for others to contribute to. Happy coding! 🚀 372 | 373 | Ready to change the future of decentralized GPU accessibility? Let's make some magic happen! 🌟 374 | 375 | ## ❓FAQ 376 | 377 | #### **Q: How do I get access to the 72 hours of GPU computing?** 378 | A: Drop your wallet address in the Discord channel and we will send you test tokens which you can use to lease compute resources. 379 | 380 | #### **Q: What types of projects can I deploy on Spheron?** 381 | A: You can deploy any project that can be containerized using Docker. This includes AI models, web applications, APIs, and more. 382 | 383 | #### **Q: Is there a deadline for submitting projects to the bounty program?** 384 | A: There is no strict deadline. Take the time you need to complete your project thoroughly. However, submitting earlier may increase your chances of being considered sooner with less competition. 385 | 386 | #### **Q: Can I submit more than one project for the bounty?** 387 | A: Yes, you can submit multiple projects. 388 | 389 | #### **Q: How are the bounty rewards distributed?** 390 | A: The bounty pool (e.g. $3000 or $5000) will be divided among multiple top projects based on implementation quality and novelty. It's not awarded to a single winner. 391 | 392 | #### **Q: What GPU types are supported?** 393 | A: Currently, only linux/amd64 GPUs are supported on Spheron. 394 | 395 | #### **Q: Can I use cloud-based AI services like Groq in my project?** 396 | A: No, you should use open-source models that can be deployed directly on Spheron GPUs. 397 | 398 | #### **Q: How long can I deploy my project for?** 399 | A: You can specify the duration in your deployment configuration. For longer-term deployments, it's recommended to use a custom domain. 400 | 401 | #### **Q: What if my deployment expires? Can I redeploy to the same URL?** 402 | A: No, a new deployment will create a new URL. For consistent access, use a custom domain. 403 | 404 | #### **Q: How do I set up a custom domain for my deployment?** 405 | A: You can use a service like Cloudflare to set up a custom domain for your Spheron deployment. 406 | 407 | #### **Q: Where can I find detailed deployment instructions?** 408 | A: Refer to the official [Spheron documentation](https://docs.spheron.network/user-guide/deploy-your-app) for step-by-step deployment instructions. 409 | 410 | #### **I have more questions, where can I contact the Spheron team?** 411 | Join our [discord channel](https://discord.gg/npW6GP3G) verify yourself and choose role as a `builder` and head over to `buidl-chat` section. 412 | 413 | #### **Who is reviewing submissions to the Spheron bounty program?** 414 | Our Dev team is responsible for reviewing your code and rewarding your submission. 415 | --------------------------------------------------------------------------------