🧠 Resume Ranking System using Fuzzy Logic

A web-based resume ranking system that uses fuzzy logic to evaluate and rank candidate resumes based on job descriptions. The system utilizes a Python backend for processing logic, Node.js to handle execution using the spawn function, and a modern TypeScript + React frontend for interaction.

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📌 Features

• 🔍 Intelligent ranking using fuzzy logic
• 📁 Resume and Job Description upload support
• 🚀 Cross-language integration: Node.js (backend) + Python (ranking logic)
• ⚛️ Frontend developed with TypeScript and React
• 📤 Real-time results displayed on the frontend
• 🧪 Easily extendable with more evaluation criteria

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🛠 Tech Stack

🧩 Backend

• Node.js
  • Used child_process.spawn() to interface with Python
  • Handles resume/job description file uploads
  • Sends files to Python for processing and returns rankings

🐍 Python

• Used for implementing fuzzy logic ranking
• Libraries:
  • fuzzywuzzy – String similarity
  • skfuzzy – Fuzzy logic control
  • pandas, numpy – Data manipulation
• Reads resumes and job description
• Applies fuzzy rules to rank resumes

💻 Frontend

• React + TypeScript
  • Clean UI to upload resumes and job description
  • Fetches and displays ranked list
  • Uses axios for API calls

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⚙️ How it Works

1. User uploads resumes and a job description from the React frontend.
2. Backend receives the data and uses spawn to execute the Python script:

   const { spawn } = require('child_process');
   const py = spawn('python', ['ranker.py', 'data/input.json']);