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Quick Prediction

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We have used light ML model that can load within no time without compromising on the accuracy of the prediction. Light models quickly load which helps in better response of the page.

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Wide Range

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This Web-App provides a wide range of predicting the contamination multiple infectious diseases like Kidney disease, Diabetes, Liver Infection, Heart Disease & Breast Cancer.

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Highly Accurate

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Though this app provides a wide range and high speed the accuracy has not been compromised. Hyper-parameters have been selected very carefully so that the accuracy is not hampered.

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Less Doctors: India is facing a huge shortage of Doctors

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The shortage of professionals like doctors, nurses, technicians and infrastructure as given by the report of WHO that 0.76 doctors and 2.09 nurses are present per 1000 people. Additionally, Indian healthcare is also facing acute shortage of hospital beds with 1.3 hospital beds per 1000 population.

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Low Accessibility: Non-uniform Accessibility to Healthcare across nation

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The physical access to hospitals is still the major barrier to both preventive and curative health services, and also the major differences between the Rural and the Urban India. By making use of web technology and AI people in remote areas can also get access to the health-care.

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Affordability: Good healthcare facilities still a dream of the common people in India

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It is the biggest problem many Poor and marginalised are hit the most as by the government estimates, approx. 63 million people are faced with poverty every year because of their healthcare expenditure. Using the technology in a better way healthcare can be made affordable for everyone

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