Stephen Rodrick

Medication errors—especially wrong dosages—contribute to over 250,000 deaths annually worldwide (WHO). In India, inadequate access to timely diagnosis and diet guidance worsens chronic diseases. Our platform solves this by: Predicting disease risks using AI from user inputs (vitals, history, symptoms). Recommending accurate medication dosages to prevent over- or under-medication. Generating personalized dietary plans aligned with medical conditions. Offering a secure dashboard (blockchain-integrated) that tracks diagnosis, prescriptions, and follow-ups—especially helpful for remote/rural patients. Acting as a one-stop platform to reduce clinical load and improve self-health management. This makes healthcare safer, more personalized, and accessible—even without physical hospital visits.

This project provides a digital health monitoring solution for individuals who need to track their vital signs without wearable hardware. Users can: View real-time heart rate, SpO2 (oxygen level), and blood pressure readings from a pre-loaded database. Analyze historical health data through interactive graphs. Get basic health alerts if readings indicate a potential health issue (e.g., high BP → hypertension warning). Easily retrieve stored health records and visualize trends for better health awareness. Ideal for testing wearable health monitoring software before integrating with physical sensors.