This project provides an SDK with multiple use cases. The primary issue it addresses is the prevalent trend among novice developers who pursue green contribution boxes, leading them to submit artificial pull requests (PRs) to various open-source repositories. Additionally, discerning genuine open-source work by a user has become challenging. Our solution mitigates these challenges through our application/kit. By simply providing the username of the individual you wish to evaluate, our wrapper API facilitates the retrieval of pertinent information. Users can view contribution graphs color-coded with green denoting authentic contributions and red indicating dubious ones.

Another challenge addressed pertains to GitHub open-source project maintainers. External PRs submitted by non-core contributors undergo scrutiny via our LLM (Legitimacy and Impact Detection Model). This system assesses whether the PR aligns with listed issues or is impactful; otherwise, it is promptly closed upon submission. Consequently, maintainers are spared the arduous task of manually reviewing every commit/PR, streamlining their workflow.

The robustness of our SDK extends to browser extensions and other application integrations, including hiring platforms. Many companies rely on a candidate's open-source contributions for recruitment purposes. With our platform, they can confidently assess the legitimacy of contributions without sifting through GitHub's extensive graph.

In essence, our solution offers a comprehensive means to discern genuine contributions, safeguarding the integrity of open-source projects while simplifying the recruitment process for organizations. And maintaining the overall honour of OS works.