lgai

AI Project

Overview

This project is designed to develop and train an AI model using various datasets. The project structure is organized to facilitate data management, model training, and experimentation.

Project Structure

• data/raw: Contains raw data files for training the AI model.
• data/processed: Stores processed data files that have been cleaned and transformed for model training.
• models: Directory for saving the trained AI models.
• notebooks: Contains Jupyter notebooks for experiments, visualizations, and analyses.
• src: Source code for the project.
  • __init__.py: Marks the directory as a Python package.
  • train.py: Logic for training the AI model.
  • predict.py: Logic for making predictions using the trained AI model.
• requirements.txt: Lists the dependencies required for the project.

Setup Instructions

1. Clone the repository to your local machine.
2. Navigate to the project directory.
3. Install the required dependencies using:

   pip install -r requirements.txt
   

Usage Examples

• To train the model, run:

  python src/train.py
  

• To make predictions, use:

  python src/predict.py
  

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any suggestions or improvements.