Gym Services - AI Chatbot and many more

This repository contains the code for the Gym Landing project, a web application for Zhengzhou University Gym. The project includes a frontend built with Next.js and a backend powered by FastAPI.

Features

• Frontend: Built with React.js, Next.js, and SCSS for modular styling.
• Backend: Developed using FastAPI, featuring a chatbot powered by the LLaMA3 model.
• AI Chatbot: Provides gym-related assistance, including membership details and exercise guidance.
• Booking System: Book gym classes and manage your schedule.
• Fitness Dashboard: Track your daily and weekly fitness progress.
• AI Workout Plans: Generate personalized workout routines.
• Nutrition Plans: Get meal and nutrition recommendations.
• Authentication: Secure login and registration for users.
• Profile Management: View and manage your bookings and personal info.
• Responsive Design: Optimized for all devices.
• Dynamic Routing: User-friendly URLs via Next.js.
• Component-Based Architecture: Reusable components for maintainability and scalability.

Project Structure

LICENSE
project_analysis.txt
backend/
    main.py
    requirements.txt
frontend/
    components/
        Menu.jsx
        spinner.jsx
        bton.jsx
        btonTop.jsx
        chevron.js
        logo.js
        logoFull.js
        seccion/
            Inicio.jsx
            Ofertas.jsx
            Planes.jsx
            Instructores.jsx
            Imc.jsx
            Contacto.jsx
            about.jsx
    pages/
        _app.js
        index.jsx
        ai-chatbot.jsx
        ai-workout-plans.jsx
        booking.jsx
        fitness-dashboard.jsx
        nutrition-plans.jsx
        profile.jsx
        login.jsx
        register.jsx
        about.jsx
        api/
            hello.js
    public/
        ico.svg
        hamim.jpg
        ishfar.jpg
        imgGym/
            imc.jpg
            inicio.jpg
            logo.png
            man.png
            woman.png
        imgTeam/
            trainer1.jpg
            trainer2.jpg
            trainer3.jpg
            trainer4.jpg
        videosGym/
            boxeo.mp4
            cardio.mp4
            fuerza.mp4
            yoga.mp4
    styles/
        about.module.scss
        aiWorkoutPlans.module.scss
        booking.module.scss
        btonTop.module.scss
        chatbot.module.scss
        contacto.module.scss
        fitnessDashboard.module.scss
        globals.css
        imc.module.scss
        inicio.module.scss
        Instructores.module.scss
        login.module.scss
        menu.module.scss
        nutritionPlans.module.scss
        ofertas.module.scss
        planes.module.scss
        profile.module.scss
        register.module.scss
        spinner.module.scss

Backend

• API Endpoints:
  • /: Root endpoint for server status.
  • /chat: Handles user interactions with the AI chatbot.
• Technologies: Python, FastAPI, LLaMA3 model.
• Middleware: CORS middleware for cross-origin requests.

Frontend

• Technologies: React.js, Next.js, SCSS.
• Key Pages:
  • index.jsx: Homepage with gym services, plans, instructors, and contact.
  • ai-chatbot.jsx: Chat with the AI-powered gym assistant.
  • ai-workout-plans.jsx: Get AI-generated workout plans.
  • nutrition-plans.jsx: Personalized meal and nutrition plans.
  • booking.jsx: Book gym classes.
  • fitness-dashboard.jsx: Track fitness progress and activity.
  • profile.jsx: Manage bookings and view user info.
  • login.jsx & register.jsx: User authentication.
  • about.jsx: Info about the gym and founder.
• Reusable Components: Navigation menu, spinner, scroll-to-top button, modular homepage sections, and utility components (bton.jsx, chevron.js, logo.js, logoFull.js).
• Media Assets: Images (hamim.jpg, ishfar.jpg, imgGym/, imgTeam/), and videos (videosGym/).
• Styling: Each page/component has a corresponding SCSS module in styles/ for modular and maintainable styling.

Getting Started

Prerequisites

• Node.js and npm
• Python 3.9+

Installation

1. Clone the repository:

   git clone https://github.com/your-username/gym-landing.git
   cd gym-landing

2. Install frontend dependencies:

   cd frontend
   npm install

3. Install backend dependencies:

   cd ../backend
   pip install -r requirements.txt

Running the Application

Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Start the development server:

   npm run dev

3. Open http://localhost:3000 in your browser.

Backend

1. Navigate to the backend directory:

   cd backend

2. Start the FastAPI server:

   uvicorn main:app --reload

3. Access the API at http://localhost:8000.

Deployment

• Frontend: Deployable on platforms like Vercel.
• Backend: Can be hosted on any server supporting Python and FastAPI.

License

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

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

Contact

For inquiries, contact Ishfar Bin Rashid at hamimmd555@gmail.com.