AI-Enhanced Healthcare Diagnostics
AI-driven healthcare diagnostics and management system.
Overview
A healthcare management and recommender system, described in the repository as "AI-enhanced healthcare diagnostics and management system inspired by ZK Medical Billing Platform". It targets inefficiencies in current healthcare diagnostics and management by applying AI models that analyze patient data for more accurate and timely diagnosis and offer predictive insights for preventive care, with the stated aims of reducing human error and improving decision-making.
The project runs on localhost, and the frontend is deployed at healthy002.netlify.app.
How it's built
Technologies used, as listed in the README:
- Backend / frontend: Django, React JS, SQLite
- Data and ML: Pandas, XGBoost, explainable AI via SHAP
- LLM: Gemini
- Imaging and documents: OpenCV, Tesseract OCR
- Visualisation: Matplotlib
Context
Built by team "ERROR 404 : CHANGE FOUND?" (six members, led by me). The README links both an internal-round presentation and a final Smart India Hackathon (SIH) presentation.
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