Personalized Fitness & Diet AI App

A comprehensive web application that generates personalized fitness and nutrition plans based on user metrics, preferences, and goals.

Features

• Metrics Calculation: Calculates BMI, body fat percentage, BMR, TDEE, and macronutrient recommendations
• AI-Powered Plan Generation: Creates personalized workout routines and meal plans using AI (Ollama)
• PDF Generation: Provides downloadable PDF fitness plans with all recommendations
• Age-Appropriate Modifications: Special considerations for users over 50
• Educational Resources: Informative pages about fitness metrics, nutrition, and workouts

Tech Stack

• Frontend: React, Material-UI, Recharts
• Backend: Flask (Python), FPDF
• AI: Ollama (using deepseek-r1:8b model)
• Database: Optional integration with Supabase

Setup Instructions

Prerequisites

• Python 3.8+
• Node.js 16+
• Ollama installed and running with the deepseek-r1:8b model

Backend Setup

1. Create a virtual environment:

   python -m venv venv
   

2. Activate the virtual environment:

   • Windows:

     venv\Scripts\activate.ps1  # PowerShell
     venv\Scripts\activate.bat  # Command Prompt
     

   • macOS/Linux:

     source venv/bin/activate
     

3. Install dependencies:

   pip install -r requirements.txt
   

4. Start the Flask server:

   python -m flask --app api.app run --debug
   

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend
   

2. Install dependencies:

   npm install
   

3. Start the development server:

   npm start
   

Ollama Setup

1. Make sure Ollama is installed and running
2. Pull the deepseek-r1:8b model:

   ollama pull deepseek-r1:8b
   

Usage

1. Open your browser and navigate to http://localhost:3000
2. Fill out the form with your personal details and preferences
3. Submit the form to generate your personalized fitness plan
4. View your metrics and download your personalized PDF plan

License

MIT

Credits

Created with ❤️ using React, Flask, and Ollama