AI Resume Ranker with Job Description Matching – Django-Based Web App

Supercharge your recruitment workflow with this powerful AI Resume Ranker built using Django! This full-featured web application uses a custom-trained machine learning model to analyze and score resumes based on how well they match a provided job description. In addition, it integrates LLaMA (Large Language Model) to generate personalized improvement tips for each resume, helping candidates enhance their profiles or aiding HR teams in guiding applicants effectively.

🔍 Key Features:

• Resume Matching Score – Automatically evaluate resumes against job descriptions using a custom ML model.
• AI-Powered Suggestions – Uses LLaMA to provide tailored, actionable tips to improve resumes.
• Easy-to-Use Interface – Clean and simple UI for uploading resumes and entering job descriptions.
• Batch Upload Support – Rank multiple resumes at once for efficient hiring.
• Model Code Included – Full source code for the machine learning model is provided for transparency and customization.
• Built with Django – Scalable and production-ready web application using the robust Django framework.
• REST API Ready – Easily integrate into other platforms or workflows via API.

🧠 Tech Stack:

• Python, Django
• Custom NLP/ML model for resume scoring
• LLaMA or compatible LLM for resume tips
• HTML/CSS/JS for frontend (customizable)
• SQLite/PostgreSQL (configurable)

🎯 Perfect For:

• Recruiters and hiring teams
• Career coaches and resume consultants
• Job portals or HR software startups
• Developers looking to build resume-focused AI tools

• Resume + Job Description NLP Comparison
• Semantic Keyword Matching
• Resume Parsing (PDF, DOCX)
• Score + Suggestions
• Easy-to-customize UI

• Python 3.10

• Open Terminal In ai_resume_ranker folder
• Run Command "pip install -r requirements.txt"
• Open Terminal In backend folder
• Run Command "python manage.py runserver"