rAIght.move

View Poster.png for a summary!!!

About

This is backend part of the project for the completion of the Master's degree in Artificial Intelligence. Project provide insights and explanations for mistakes made during exercise performance.

Features

• FastAPI framework for high performance
• Endpoints to analyze and explain exercise mistakes
• Dockerfile for containerized deployment

Requirements

• Python 3.11+
• FastAPI
• Docker (optional, for containerized deployment)

Installation

1. Clone the repository:

   git clone https://github.com/hbrt-rdzk/rAIght.move-backend.git
   cd rAIght.move-backend

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -e .

Usage

1. Run the FastAPI server:

   uvicorn app.main:app --reload

2. Access the API documentation at http://127.0.0.1:8000/docs

Docker Deployment

1. Build the Docker image:

   docker build -t raight-move-backend .

2. Run the Docker container:

   docker run -p 8000:8000 raight-move-backend

Project Structure

• app/ - Contains the FastAPI application and endpoints
• configs/ - Configuration files
• data/ - Data files for the application
• .gitignore - Git ignore file
• Dockerfile - Dockerfile for containerization
• pyproject.toml - Project configuration file
• README.md - Project documentation

Contributing

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