FitBuddy is a comprehensive web-based health and fitness application designed to help users track their daily calorie intake, plan meals with the help of AI, purchase health-related products, and connect with a community of fitness enthusiasts.

Vercel Link: https://fit-buddy-2004.vercel.app/

• Log daily calorie intake with a large food database.
• Keep a history of past calorie records by date.
• Visual representation of calorie consumption with progress bars.

• Personalized AI meal plans using the Gemini API.
• AI health tips tailored to user input and preferences.

• Purchase gym and health-related supplements.
• Integrated with Stripe for secure payments.

• Connect with other users and share fitness goals.
• Join groups for challenges and discussions.

• Set personal fitness goals and track progress.
• Weekly workout plan updates.

• Secure user authentication using JWT.
• Data stored in MongoDB with robust encryption.

• React.js with Vite
• CSS for additional custom styling

• Node.js with Express.js
• RESTful APIs for data handling

• MongoDB for user and app data storage

• Gemini API for meal planning and health tips

• Stripe API for e-commerce transactions

• Node.js and npm installed.
• MongoDB installed and running locally.

1. Clone the repository:

   git clone https://github.com/yourusername/FitBuddy.git

2. Navigate to the project directory:

   cd FitBuddy

3. Install dependencies for the backend:

   cd backend
   npm install

4. Install dependencies for the frontend:

   cd frontend
   npm install

5. Create a .env file in the server directory with the following variables:

   MONGO_URI=mongodb://localhost:27017/healthapp
   GEMINI_API_KEY=your_gemini_api_key
   SECRET_STRIPE_KEY=your_stripe_secret_key

6. Start the backend server:

   cd backend
   npm run dev

7. Start the frontend development server:

   cd frontend
   npm run dev

8. Open the application in your browser at http://localhost:5173.

• Sign Up/Login: Create an account or log in.
• Track Calories: Add daily food items and monitor calorie intake.
• AI Meal Planning: Input preferences and get meal plans from the AI.
• Shop: Browse and purchase fitness-related products.

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add new feature"

4. Push to your branch:

   git push origin feature-name

5. Open a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

If you have any questions or suggestions, feel free to reach out:

• Developer: Ayush Das
• Email: [email protected]
• GitHub: https://github.com/Ayushdas1904

Fitness, Calorie Tracker, Meal Planning, AI Integration, E-commerce, Health Tips, MERN Stack, Secure Payments, MongoDB, React, Node.js, Stripe.