abhroroy365's Repositories

This repository for getting started with git contribution

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This bot will inspire you with inspirational quotes whenever you fill disappointed .

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A fooding website

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executive-ai-assistant

Email assistant

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this is my first repo for workshop

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game1.github.io

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game2.github.io

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Github Crawler is a simple tool which scraps data from Github. Currently, it is only scraping data from Topics section on Github.

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Captioning a given image

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Learning-Made-Easy

This project can help you understand the Data Structure and Algorithms in a more efficient manner. It aims at scheduling the studies for maximizing marks during exams. Most students face this problem during exams that what to study to get the best out of their limited time.

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Market_Analysis

This project explores customer segmentation and market analysis in the context of online retail using an online retail dataset. By applying advanced analytics, we aim to uncover insights that can drive strategic decisions and enhance business performance.

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Medical-Chatbot

A Retrieval-Augmented Generation (RAG) based Medical Chatbot. With the base model as Llama2 from Meta, the Retrieval system uses a medical document as corpus to generate context-rich output.

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Neural-Style-Transfer

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nyc-taxi-fare-prediction

This is a predicton model for predicting the approximate cab fare for a given pickup and dropoff in new york city in USA

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osteoarthritis-detection-with-attention

Detecting (classifying) osteoarthritis using Attention mechanism

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Stock-Prediction-Using-Twitter-Sentiment-Analysis

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Synethic-Review-Generation

Generating synthetic reviews from real reviews by fine tuning pretrained GPT 2 117M model, followed by few-shot prompting, finally evaluating by BERT classifier.

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This project utilizes OpenCV, YOLO and CNN to track the position, movement of players in a video. YOLOv8 is used to track the players. YOLOv5 is used to track the position of tennis ball at every frame of the video. ResNet34 is fine-tuned to detect the court keypoints.

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Twitter-sentiment-based-stock-price-prediction-uisng-Attention

Predicting stock prices from historical stock data is a rising trading stratedy used by investors in stock market. Leveraging the power of public sentiment about a company, a rough approxiamate of future stock movements can be captured. Architecture used : Attention-CNN and BiLSTM followed by XGBoost ensemble learning

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