We are building algorithmic hiring transparent ranking system using GenAl for developers & designers.HireBetter tackles the murky world of tech hiring head-on. It's a game-changer for both developers and employers, bringing crystal-clear transparency to the recruitment process. No more guessing games or hidden biases - our GenAI-powered algorithms lay it all out in the open. Developers can finally see exactly how they stack up and what skills to boost, while companies get a clear view of top talent without the usual hiring headaches. It's not just about finding jobs or filling roles; it's about building trust, fostering fairness, and making sure the right people land in the right spots. With HireBetter, the tech world gets a much-needed upgrade in how it connects talent with opportunity, making the whole process smoother, smarter, and way more satisfying for everyone involved.
Our team faced significant challenges in candidate data extraction and ranking. Initial attempts at social media scraping were unsuccessful, leading to a focus on resume parsing. This approach presented difficulties due to inconsistent formats and complex unstructured text. Ranking candidates proved challenging, requiring the development of sophisticated algorithms to match resumes with job descriptions and evaluate diverse skill sets. These obstacles highlight the complexities of automating candidate evaluation in recruitment technology.We tried to scrape user data from their socials like LinkedIn but faced lot of problems so we shifted to resume scraping.
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RISE Foundation IISER
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