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AI Resume Analyzer & Job Match Scorer

A full-stack web application that analyzes resumes and job descriptions using NLP embeddings to compute a semantic match score and provide actionable feedback.

Features

  • Resume PDF upload
  • Job description analysis
  • Semantic similarity scoring using AI embeddings
  • REST API built with FastAPI
  • Simple frontend interface

Tech Stack

  • Python
  • FastAPI
  • OpenAI API
  • scikit-learn
  • HTML, JavaScript

Project Structure

ai-resume-matcher/ ├── backend/ │ ├── main.py │ ├── resume_parser.py │ ├── matcher.py │ └── requirements.txt ├── frontend/ │ ├── index.html │ └── app.js ├── .gitignore └── README.md

Setup Instructions

  1. Clone the repository
  2. Set the OpenAI API key as an environment variable
  3. Install backend dependencies
  4. Run the FastAPI backend server
  5. Open the frontend in a web browser

Future Improvements

  • AI-generated resume improvement suggestions
  • Skill gap and keyword visualization
  • User authentication and saved analyses
  • Cloud deployment for public access

About

AI Resume Analyzer & Job Match Scorer Built a full-stack web application that analyzes resumes and job descriptions using NLP embeddings to compute a semantic match score. The system provides explainable feedback and improvement suggestions, enabling data-driven resume optimization. Implemented using Python, FastAPI, and modern AI models.

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