ResuFit: Precision CV Matching System

Hiring processes can often be inefficient and time-consuming, with recruiters struggling to sift through large volumes of resumes and identify the most qualified candidates. This challenge prompted the development of ResuFit, a web-based application designed to streamline the hiring process. ResuFit integrates natural language processing (NLP) using the SpaCy Python library to parse CVs and extract key information such as skills and years of experience. This data is then compared to the job requirements provided by the recruiter, using cosine similarity and Jaccard similarity to determine the applicant's suitability for the position. To ensure a comprehensive evaluation, applicants are also presented with screening questions defined by an expert recruiter. The system uses ChatGPT to validate and score applicants' responses by comparing them against model answers generated by the expert. By averaging the CV ranking and screening question validation scores, ResuFit generates a percentage-based result, providing a fair evaluation of each applicant. Additionally, ResuFit provides comprehensive feedback to applicants, offering insights into their strengths and areas for improvement. By automating these processes, ResuFit aims to ease the hiring and recruitment burden, enabling recruiters to focus on the most qualified candidates. The integration of cutting-edge NLP and AI technologies, combined with the HR module from Odoo ERP software, makes ResuFit a powerful tool for streamlining the recruitment process and improving hiring outcomes.