Inspiration
As of 2023, over half the world's population — 4.5 billion people — was not fully covered by essential health services, according to the report released jointly by the World Health Organization and the World Bank. Despite several progress, 30 percent of the population, i.e over 40 crore individuals still lack any form of financial protection for health like insurance. Not only this, 70 percent of women and 59 percent of men are unhealthy based on their diet and lifestyle Our product AI DOC achieves the 3 goals of UN sustainable development, 3rd goal is good health and well-being 8th goal is decent work and economic growth 9th goal is industry innovation and infrastructure
AI-DOC revolutionizes online medical services by seamlessly integrating accuracy, speed, and reliability. Our mission is to establish a healthcare ecosystem that ensures accessibility for all. Leveraging intelligent technology, our application delivers state-of-the-art healthcare systems.
What it does
AI-DOC is a all in one Healthcare application which provides different services
Symptom checker: A ML based technique that gives prognosis of the disease based on symptoms experienced by patient along with the precautions and medications. Book Doctor's appointment based on Disease Health-insurance charges prediction: Plausible prediction of the applicable insurance charges based on health information provided by the user. Diet recommendation system: Customised nutritional recommendations for users’ wellbeing. How we built it Libraries used : Django, sklearn, pandas, joblib, pickle, python-decouple, twilio, xhtml2pdf
Challenges we ran into
1) Deployment in the server side of Django 2) Storing and retrieving machine learning models using pickle or joblib presented challenges with serialization and deserialization. 3) Securely handling sensitive information, like API keys, using python-decouple posed challenges in configuration management. 4) Scaling Django applications and machine learning models for increased loads presented challenges in optimizing code and resource allocation.
Accomplishments that we're proud of
Successful deployed web application
What's next for AI-DOC
1) Partnerships and Collaborations: 2) User Feedback and Iteration 3) Partnerships and Collaborations
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