Generative AI Hackathon with IBM Granite

Start

We are passionate AI enthusiasts, with goal to revolutionize the hiring process using AI.

ResuGenius

Jenis_donda

poojan

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.

This project analyzes candidate resumes using AI and provides an efficient way to match resumes with job descriptions and generate interview questions. The system uses two agents collaborate to provide the most relevant match score. 

"ResuGenius team on Generative AI Hackathon with IBM Granite Hackathon"

Team Idea

Submission