Smart GitHub Issue Recommender
Find beginner-friendly issues, Identify repositories matching their skills, Understand which issues are worth solving
Smart GitHub Issue Recommender is a tool that helps developers discover beginner-friendly open-source issues more easily. Many programmers struggle to find suitable issues to contribute to on GitHub, especially when starting with open-source.
This platform recommends relevant issues based on a user's programming language and skill level by analyzing repository activity and issue labels such as good-first-issue and help-wanted.
The system also includes a Contribution Analyzer that evaluates pull requests and provides insights into code quality, efficiency, and possible AI-assisted code patterns. This helps developers improve their coding practices while contributing to open-source projects.
The goal of this project is to make open-source contribution easier, more accessible, and more structured for developers.