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ARNAV JAIN.
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Health Risk Prediction System

Full-stack ML app for early health-risk inference

RoleDesigner & sole engineer
PeriodFeb 2025 — Mar 2025
StackPython, Flask, ML
Categoryml, systems
Problem

Early risk signals in patient data go unflagged without manual review.

Approach
  • Built a full-stack ML application for early health-risk prediction
  • Implemented a secure Flask backend managing 100+ user records with authentication and role-based access
  • Automated risk inference and reporting to cut manual analysis effort
Pipeline
Outcomes
Model accuracy~85%
Manual analysis effort cut~60%
User records managed100+