Resume Analyzer Tool

A Streamlit web app that compares a resume against a job description, calculates a match score, highlights missing keywords and skill gaps, and stores analysis history in SQLite.

Features

• Upload .txt or .pdf resumes
• Paste a job description and title
• Lowercase, tokenize, and remove stopwords during preprocessing
• Extract top keywords from the resume and job description
• Calculate a match score from 0-100%
• Show missing keywords and likely skill gaps
• Generate suggestions for improving the resume
• Save results to resume_results.db
• View previous analyses in the app

Setup

cd /Users/uddhavbhardwaj17/Documents/Python/resume_analyzer_tool
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install -r requirements-streamlit.txt
streamlit run streamlit_app.py

Vercel Deployment

This repository also includes a Vercel-compatible static frontend and Python serverless API:

• index.html is the public Vercel interface.
• api/analyze.py analyzes uploaded resumes.
• api/history.py exposes recent SQLite records from the current serverless function instance.
• core.py shares the preprocessing, keyword extraction, scoring, and suggestion logic with Streamlit.

Deploy with:

vercel --prod

Notes

The PDF text extractor uses only Python standard-library modules so the project stays within the requested dependency list. It works best with text-based PDFs. Scanned image PDFs need OCR, which would require extra libraries or services.