MRS-AI Medicine

Project Architecture & Overview

Won 1st Prize with a ₹7000 prize pool at the YOUTH@2050 District Level Project Software Exhibition. Integrates Support Vector Classification (SVC) machine learning to diagnose diseases from multi-symptom inputs and recommends appropriate over-the-counter medicine regimens, diet restrictions, precautions, and workout tips.

Key Engineering Milestones

• ✦Awarded 1st Prize at YOUTH@2050 District Level Software Exhibition
• ✦Trained SVC model on 4,920 disease-symptom associations with 95%+ precision
• ✦Provides comprehensive precautions, medications, diet advice, and workout routines
• ✦Intuitive web GUI for rapid symptom selection and clinical explanation