EquiLearn is a full-stack donation platform designed to connect donors with underfunded schools and educational needs. The platform provides a modern, visually impactful web interface for donors to register, log in, and support schools, while administrators can manage schools and track platform impact.

The project is structured into two main components:

• Backend API (Flask): Handles user registration, authentication, school and donation management, and serves data to the frontend.
• Frontend (React + TypeScript): Provides a user-friendly interface for donors and admins to interact with the platform.

• Donor and admin registration and login
• Browse and support featured schools and micro-donation pools
• Track recent donations and platform impact
• Admin panel for managing schools and needs
• Modern, responsive UI with blue-themed branding and professional design
• Persistent user sessions and state management

git clone https://github.com/yourusername/EquiLearn.git
cd EquiLearn

The backend is built with Flask and uses SQLite for data storage.

python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

pip install -r requirements.txt

python run.py

The API will be available at http://localhost:5000.

The frontend is a React app located in the frontend directory.

cd frontend
npm install

npm start

The frontend will be available at http://localhost:3000 and will proxy API requests to the backend.

1. Open your browser and go to http://localhost:3000.
2. Register as a donor or log in as an admin (default: admin@equilearn.org / admin123).
3. Browse schools, make donations, and view your impact.
4. Admins can manage schools and needs from the admin panel.

EquiLearn/
  ├── backend/                # Flask backend
  │   ├── app.py
  │   ├── models.py
  │   ├── extensions.py
  │   ├── migrations/         # Database migrations
  │   └── instance/
  │       └── equilearn.db    # SQLite database
  ├── frontend/               # React frontend
  │   ├── src/
  │   ├── public/
  │   └── package.json
  ├── requirements.txt        # Backend dependencies
  ├── run.py                  # Backend runner
  ├── package.json            # (root, optional)
  └── README.md

This project is open source and available under the MIT License.