zakaria-narjis/nutrimind
A full-stack diet recommendation system using machine learning
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.
Stars
252
Forks
94
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/zakaria-narjis/nutrimind"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
zakaria-narjis/Diet-Recommendation-System
A full-stack diet recommendation system using machine learning
dmis-lab/KitcheNette
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
explosion/prodigy-recipes
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
VGandhi27/FoodWebApp
The main aim of the project is to develop a web-based application that is going to make it...
navassherif98/Recipe-Generation-from-Food-Image
An Application for Generating a cooking recipe consist of title, ingredients and instructions...