IntelliAPI

A simple REST API that makes machine learning models accessible through easy-to-use endpoints.

What it does

IntelliAPI lets you interact with different machine learning models through a REST API. We built it with Django and focused on making it straightforward to use and extend.

Getting started

You'll need

• Python 3.x
• Django
• Additional packages listed in requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/asndiallo/IntelliAPI.git
   cd IntelliAPI

2. Set up a virtual environment:

   # Using conda
   conda create --name intelliapi_env python=3.10
   conda activate intelliapi_env
   
   # Or using venv
   python3 -m venv intelliapi_env
   source intelliapi_env/bin/activate  # On Unix/MacOS
   intelliapi_env\Scripts\activate     # On Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Create your environment file:

   • Copy .env.example to .env
   • Fill in your configuration details

5. Set up the database:

   python manage.py makemigrations
   python manage.py migrate

6. Start the server:

   python manage.py runserver

How to use it

Check out our Heart Disease Predictor API guide for a practical example of how to use the API.

Want to contribute?

We welcome contributions! Here's how:

1. Fork the repository
2. Create your feature branch (git checkout -b my-new-feature)
3. Make your changes
4. Commit (git commit -am 'Add some feature')
5. Push to your branch (git push origin my-new-feature)
6. Open a Pull Request

License

MIT License - see LICENSE file

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Questions? Contact me at [email protected]