Gayathri-M160/Gayathri-Drug-Prediction-System
This project is a Machine Learning based Drug Prediction System that helps doctors and patients predict a suitable drug based on medical input features like age, blood pressure, cholesterol, sodium to potassium ratio, sex, and other health parameters. The application is built using Python, Flask, HTML, CSS, and SQLite to store patient history.
Implements a two-tier architecture with patient and doctor portals—patients input lab parameters for Decision Tree-based drug predictions, while doctors verify, modify, and manage prescriptions through a dedicated dashboard. The system maintains persistent patient history in SQLite and enables prescription sharing via WhatsApp and email, bridging the gap between automated prediction and clinical oversight for remote patient monitoring.
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Last pushed
Jan 08, 2026
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