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Resume Screener & Fit Analyzer

Client / Industry Information:

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Background:

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Problem Statement:

Problem


Recruiters and hiring managers often receive hundreds of resumes per role, making it time-consuming and inconsistent to manually evaluate each one. Matching a resume to a job description requires careful analysis of skills, experiences, and context—leading to inefficiencies, missed talent, or biased shortlisting decisions.

Approach:

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Solution: 

This tool enables users to:

  • Upload a resume (PDF) and corresponding job description (text)

  • Automatically extract:
    A Fit Score between 0–100 based on semantic skill match
    Key skills that match the job description
    Missing skills or gaps in experience
    A brief recommendation to support shortlisting decisions

  • Speed up screening by providing structured, AI-generated insights

  • Built with Streamlit, it offers an intuitive interface without requiring technical knowledge

Key Outcomes / Results:

This project demonstrates proficiency


  • Applying AI to solve real-world HR and recruiting challenges

  • Analyzing unstructured documents to extract meaningful, actionable insights

  • Creating intuitive tools for non-technical stakeholders

  • Designing and deploying full-stack AI-driven applications

  • Building scalable solutions that improve efficiency in business operations

Relevant across domains like recruitment, HR tech, staffing agencies, enterprise talent management, and internal HR ops.


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