Resume Analyzer AI

✨ Analyze resumes with AI (no cloud needed!)

How to Run:

1. Install Ollama:

   curl -fsSL https://ollama.com/install.sh | sh
   ollama pull llama3
   

resume-analyzer

AI Resume Analyzer 📊 LLM-powered tool (Ollama/Streamlit) that extracts key details from resumes (PDF/DOCX). Analyzes fresher/experienced profiles with structured insights. Easy setup, customizable prompts. 🔗 github.com/dadicharan/resume-analyzer #AI #LLM #RecruitmentTech

Here's a polished GitHub repository description for your Resume Analyzer project that clearly explains its purpose and features:

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Resume Analyzer AI

📄 LLM-Powered Resume Analysis Tool

A Streamlit web app that uses Ollama's LLM models (like llama3, mistral) to analyze resumes in PDF/DOCX format. Extracts key details, categorizes information for freshers/experienced candidates, and presents structured insights.

➡ Live Demo: [Coming Soon] (Host on Streamlit Cloud if needed)

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✨ Key Features

✅ Smart Resume Parsing

• Extracts text from PDF & DOCX files
• Cleans and preprocesses resume content

✅ LLM-Powered Analysis

• Uses Ollama (local LLM) with llama3/mistral
• Custom prompts for freshers (education, projects) and experienced (work history, skills)

✅ User-Friendly Interface

• Streamlit dashboard with:
  • Resume preview
  • Structured data tables
  • Key insights sections
• Dark/light mode compatible

✅ Error Handling

• Fallback models if primary fails
• Clear error messages for debugging

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🛠️ Tech Stack

Component	Technology Used
Frontend	Streamlit
LLM	Ollama (llama3, mistral)
Parsing	PyPDF2, python-docx
Data	pandas, rapidjson

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📌 Ideal For

• Job seekers to optimize resumes
• Recruiters to quickly scan candidate profiles
• Developers learning LLM integration

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📂 Repository Structure

resume-analyzer/
├── app.py                # Main Streamlit app
├── utils/
│   ├── __init__.py       # Package initialization
│   └── resume_parser.py  # Core parsing/analysis logic
├── requirements.txt      # Python dependencies
├── README.md             # Project documentation
└── .gitignore            # Excludes virtualenv/files

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🚀 Why Contribute?

• Easy to customize (change LLM prompts/models)
• Lightweight (runs locally without GPU)
• Educational for AI/Streamlit beginners

🔗 GitHub Link: https://github.com/dadicharan/resume-analyzer

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🎯 Future Improvements

• Add multi-resume comparison
• Support image-based resumes (OCR)
• Deploy as public web app

Pro Tip: Add a demo.gif showing the app in action to make it more engaging!