Github Recommendation System And User Analytics

This project aims to build a recommendation system that suggests relevant repositories for users to contribute to on Github. The system will utilize the user’s past activity to group them With other repositories which have similar activity, and use appropriate machine learning techniques to form associations between users and repositories. The primary goal is to motivate users to participate in open-source projects by recommending projects that match their skills and reducing the workload of project maintainers. The proposed system will help users discover repositories that align with their interests and skill sets, and streamline the process of finding suitable projects to contribute to on Github.