FlavorSense

FlavorSense AI is a modular, scalable Flask backend for personalized food recommendation.

Features

• User Profile Management: Diet, allergies, health conditions, budget, flavor preferences.
• Recipe Recommendation: Cosine similarity matching based on flavor profiles.
• Meal Planning: Automated 7-day meal plan generation.
• Grocery List: Aggregates ingredients from meal plans.

Flavor Intelligence

Flavor intelligence is powered by offline ingredient flavor embeddings derived from FlavorDB2 molecular flavor dataset for computational gastronomy.

The system uses a local dataset (backend/data/flavor_vectors.json) to dynamically calculate recipe flavor profiles based on ingredients, eliminating the need for external flavor APIs.

Tech Stack

• Python 3.x
• Flask
• NumPy (for vector math)

Setup & Run

1. Install Dependencies

   pip install -r backend/requirements.txt

2. Run Server

   python backend/app.py

3. Verify

   python backend/verify_backend.py

API Endpoints

• POST /api/recommend: Get top 5 recipe recommendations.
• POST /api/mealplan: Generate weekly meal plan.
• POST /api/grocery: Generate grocery list from meal plan. =======

Codenova

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