AI-Driven Resume Evaluation for Smarter Hiring – A Case Study

The Problem 

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.

The Solution 

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.

The Results 

• 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