GradMatch

GradMatch is a Django-based web application designed to assist students in finding suitable graduate programs based on their academic profiles. It integrates AI capabilities using LangFlow to provide personalized recommendations.

Features

• AI-Powered Recommendations: Uses LangFlow to process user inputs and generate tailored graduate program suggestions.
• Dynamic Frontend: Utilizes HTMX for seamless, dynamic updates without full-page reloads.
• Customizable Flows: Easily modify the LangFlow configuration to adapt to different use cases.

Project Structure

GradMatch/
├── backend/                # Django backend code
│   ├── manage.py           # Django management script
│   ├── views.py            # Application views
│   ├── urls.py             # URL routing
│   └── templates/          # HTML templates
├── Scholary Ai (1).json    # LangFlow configuration file
├── .gitignore              # Git ignore file
└── README.md               # Project documentation

Prerequisites

• Python 3.8+
• Django 4.0+
• LangFlow
• HTMX

Installation

1. Clone the repository:

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

2. Set up a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure environment variables: Create a .env file in the root directory and add your configuration (e.g., API keys, database credentials).

5. Run database migrations:

   python manage.py migrate

6. Start the development server:

   python manage.py runserver

Usage

1. Open the application in your browser at http://127.0.0.1:8000/.
2. Enter your academic profile (e.g., program, GPA, GRE score, research experience).
3. View personalized graduate program recommendations generated by the AI.

LangFlow Integration

This project uses LangFlow to process user inputs and generate recommendations. The flow configuration is stored in the AI_flow.json file. You can modify this file to customize the AI's behavior.

Running LangFlow

1. Install LangFlow:

   pip install langflow

2. Start the LangFlow server:

   langflow run

3. Ensure the LangFlow server is running at http://localhost:7860 for the Django app to communicate with it.

Contributing

Omo Only the team dey contribute oo i no all this one wey una dey talk