zakaria-narjis/nutrimind

A full-stack diet recommendation system using machine learning

63
/ 100
Established

Embeds 500,000+ recipes as 9-dimensional nutritional vectors and uses scikit-learn's NearestNeighbors with cosine similarity to match meals to personalized caloric targets. Automatically calculates TDEE via the Mifflin-St Jeor equation and distributes daily calories across meals, then optimizes ingredient filtering through pre-parsed `frozenset` matching to avoid per-request regex overhead. FastAPI backend with Streamlit frontend, fully containerized and deployable via Docker Compose.

252 stars.

No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

252

Forks

94

Language

TypeScript

License

Apache-2.0

Last pushed

Mar 21, 2026

Commits (30d)

0

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