This project simplifies the hiring process by using AI to analyze candidate resumes and match them with job descriptions provided by recruiters. It leverages AutoGen’s agent-based functionality to automate key steps like extracting candidate information, calculating job match scores, and generating skill-based interview questions. The system extracts essential details like education, experience, achievements, contact information, and skills, providing a comprehensive profile of each candidate. Using WatsonX, it enhances data extraction and analysis capabilities, ensuring accurate and efficient evaluations. Through Streamlit’s user-friendly interface, recruiters can easily upload job descriptions and resumes, specify the number of interview questions, and receive a detailed analysis. The output includes a match percentage, tailored interview questions with suggested answers, and a concise candidate summary. This project saves time and effort by offering automated, data-driven insights for smarter and faster hiring decisions.
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