How to Contribute:

Select an area of interest from the sections below.
Fork the repository and create a new branch for your contribution.
Implement your changes and submit a pull request with a clear description.
You can also create issues to discuss new ideas, suggest features, or report bugs.
Alternatively, review existing issues and contribute towards resolving them.

Help improve the design, responsiveness, and user experience of the web interface.
Key areas for enhancement include form layouts, interaction feedback, accessibility features, and mobile responsiveness.

Expand the scope of the project by adding new machine learning models for different prediction use cases.
- Notebook Contributions: Share your model via a Jupyter notebook under the models/<problem-statement>/notebooks/ directory.
- Full Model Integration: Submit fully integrated models with optimized parameters, preprocessing steps, and final outputs.
You can also contribute by optimizing existing models, tuning hyperparameters, or improving dataset handling for better performance.

Help integrate new or existing machine learning models into the application’s backend using Python APIs.
Enhance the system's performance, develop API endpoints, and improve data handling capabilities for larger datasets.

Improve the project's documentation to help new contributors understand the structure and flow of the application.
Create and share tutorials or example use cases on building and integrating custom models into the system.

Provide feedback