An HR organization faced inefficiencies in manual resume screening. Recruiters spent hours reviewing resumes, comparing them with job requirements, and shortlisting candidates—resulting in delays, resource strain, and the risk of bias.
An AI-powered resume evaluation system was developed using Google Gemini and Streamlit. It automatically matches resumes with job descriptions, assigns qualification scores, and provides explanations—streamlining hiring decisions.
Automated Resume Screening – Saves time by shortlisting resumes automatically
Better Candidate Matching – Aligns applicants more closely with job needs
Increased Hiring Velocity – Removes bias and speeds up engagement with top talent
Time & Cost Savings – Shortens the hiring cycle and reduces expenses
High-Volume Scalability – Efficiently handles large application volumes without compromising quality