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PRJ-009/ AIActive
FitAI
A full-stack health recommendation platform driven by trained models rather than lookup tables: a Random Forest regressor for caloric prediction and two Random Forest classifiers for diet and exercise recommendations, with BMR computed via Mifflin-St Jeor and progress tracked over time.
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Overview
Built for an AI and data science elective, and forked from an existing recommendation system rather than started blank — the work was in the prediction layer and the application around it: JWT authentication with bcrypt hashing, historical persistence for time-series views, and dashboards for weight, BMI, caloric breakdown and fitness profile.