AI-Powered Resume Screening & Hackathon Evaluation

AI-powered system that analyzes resumes and hackathon requirements to predict selection and winning probability, while providing clear improvement guidance.

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Inspiration

1)Manual resume screening is slow, biased, and non-transparent 2)Students receive no feedback on rejections 3)Hackathon teams are shortlisted without proper skill-balance evaluation

What it does

1) Extracts personal, educational, and technical details from resumes (PDF/DOCX) 2) Compares resumes with job descriptions or hackathon problem statements 3) Calculates selection probability using AI-based weighted scoring 4) Analyzes multiple resumes to evaluate hackathon team strength 5) Predicts winning probability based on team balance and skill coverage 6) Identifies skill gaps and missing roles 7) Provides actionable suggestions to improve resumes and team composition 8) Generates a resume quality and credibility score

How we built it

1)Uploaded resumes (PDF/DOCX) and extracted structured candidate data 2)Used AI to semantically match resumes with job or hackathon requirements 3)Applied weighted scoring to calculate selection probability 4)Analyzed multiple resumes to evaluate team strength and balance 5)Generated explainable results with scores and improvement suggestions

Challenges we ran into

  • Handling inconsistent resume formats and layouts
  • Ensuring accurate data extraction from PDFs and DOCX files
  • Designing fair scoring logic without introducing bias
  • Balancing AI accuracy with explainable results
  • Managing team-level analysis with limited data

Accomplishments that we're proud of

  • Built an end-to-end AI-powered resume screening pipeline
  • Achieved semantic matching beyond basic keyword filtering
  • Successfully analyzed both individual and team resumes
  • Generated clear selection and winning probability insights
  • Delivered actionable improvement suggestions for candidates

What we learned

  • Integrating Google Drive & Google Sheets APIs using secure credentials
  • Automating data flow between sheets, files, and services
  • Designing AI agent–based workflows for decision-making
  • Using Generative AI for semantic analysis and explanations
  • Building end-to-end intelligent workflows with APIs and AI models

What's next for Untitled

  • Add a web-based dashboard for real-time resume and team analysis
  • Integrate ATS, job portals, and hackathon selection workflows
  • Enhance hackathon winning prediction using historical results
  • Enable team role recommendations for hackathon optimization
  • Deploy the platform as a scalable cloud-based AI service

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