Скачать или смотреть AI Resume Screening System | Hackathon Project | FastAPI + Streamlit

Welcome to our project Resume Relevance Analyzer – an AI-powered system that helps placement teams and recruiters automatically evaluate student resumes against job descriptions (JDs).

This project was built for a hackathon challenge and designed as a real-world application where:

✅ Placement Teams can upload Job Descriptions (JD).
✅ Students can upload resumes (PDF/DOCX/TXT).
✅ The system performs resume parsing, skill extraction, and semantic similarity scoring.
✅ Provides a final relevance score (0–100) and verdict (High / Medium / Low).
✅ Shows missing skills and improvement feedback.
✅ Stores results in a database for further analysis.
✅ Offers a Streamlit dashboard for visualization and shortlisting.

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⚡ Tech Stack
• Frontend: Streamlit (Deployed on Streamlit Cloud)
• Backend: FastAPI (Deployed on Render)
• Database: SQLite / PostgreSQL
• Libraries:
• Sentence Transformers (Semantic Matching)
• RapidFuzz (Keyword Matching)
• PyMuPDF, docx2txt (Parsing)
• Pandas, Matplotlib (Visualization)

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📌 Features
• Resume & JD Upload (PDF/DOCX/TXT)
• Automatic Resume Parsing & JD Skill Extraction
• Hybrid Keyword + Semantic Matching
• Candidate Shortlisting with Scores
• Visual Analytics: Bar Chart & Radar Chart
• CSV Export of Results

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🚀 Deployment
• Backend: Hosted on Render (FastAPI)
• Frontend: Hosted on Streamlit Cloud (Streamlit)
• GitHub Repository: [Insert your GitHub repo link here]

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🙌 Team

This project was developed as part of a hackathon challenge by a dedicated team aiming to solve resume filtering & shortlisting challenges in placements.

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