BrightPath AI - Learning Roadmap Platform

An intelligent learning roadmap platform that helps users create and visualize personalized learning paths for various tech domains.

Features

• React + Vite for fast and efficient frontend development
• Python backend
• Tailwind CSS for styling
• React Router for navigation
• Clerk for authentication
• React Icons
• React Markdown with GFM support

Backend

• Django 4.2.9
• Django REST Framework
• Django CORS Headers
• Google Generative AI
• PyTorch
• Transformers

Prerequisites

• Node.js (v18 or higher)
• Python (v3.9 or higher)
• npm or yarn

Installation

1. Clone the repository:

git clone https://github.com/pdlmanoj/CapstoneProject-II.git
cd CapstoneProject-II

2. Install frontend dependencies:

npm install

3. Set up Python virtual environment and install backend dependencies:

python3 -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
pip3 install -r requirements.txt

4. Set up environment variables: Create a .env file in the root directory and add:

VITE_CLERK_PUBLISHABLE_KEY=your_clerk_key
GOOGLE_API_KEY=your_google_ai_api_key

Development

1. Start the frontend development server:

npm run dev

2. Start the Django backend server:

# From the backend directory
python3 manage.py runserver

Project Structure

├── src/                 # React frontend source
│   ├── components/      # React components
│   ├── pages/          # Page components
│   └── App.jsx         # Main app component
├── backend/            # Django backend
│   ├── roadmap/        # Roadmap app
│   └── backend/        # Django project settings
├── dataset.json        # Predefined roadmap data
├── public/             # Static assets
└── model/             # AI model related files