Open Source Contribution Recommander
A web tool that helps beginners find beginner-friendly open source issues based on their programming language and skill level, making it easier to start contributing to open source projects.
Many beginners want to contribute to open source but struggle to find suitable projects or beginner-friendly issues. This project aims to solve that problem by providing a simple platform that recommends open source issues based on a user's programming language and skill level.
The application allows users to enter their preferred programming language and experience level. Using the GitHub API, the system searches for repositories and issues labeled with tags such as "good first issue" and "help wanted". These labels usually indicate tasks that are suitable for beginners.
The platform then displays recommended issues including the repository name, issue title, description, and a direct link to the issue page. This helps users quickly find opportunities to start contributing without spending hours searching for suitable projects.
This tool is designed to encourage more participation in the open source community by reducing the entry barrier for new contributors. By helping beginners discover beginner-friendly issues, the project promotes learning, collaboration, and community engagement in the open source ecosystem.