community_contributions/Multi-Model-Resume–JD-Match-Analyzer/README.md

🧠 Resume-Job Match Application (LLM-Powered)

This is a Streamlit-based web app that evaluates how well a resume matches a job description using powerful Large Language Models (LLMs) such as:

• OpenAI GPT
• Anthropic Claude
• Google Gemini (Generative AI)
• Groq LLM
• DeepSeek LLM

The app takes a resume and job description as input files, sends them to these LLMs, and returns:

• ✅ Match percentage from each model
• 📊 A ranked table sorted by match %
• 📈 Average match percentage
• 🧠 Simple, responsive UI for instant feedback

📂 Features

• Upload any file type for resume and job description (PDF, DOCX, TXT, etc.)
• Automatic extraction and cleaning of text
• Match results across multiple models in real time
• Table view with clean formatting
• Uses .env file for secure API key management

🔐 Environment Setup (.env)

Create a .env file in the project root and add the following API keys:

OPENAI_API_KEY=your-openai-api-key
ANTHROPIC_API_KEY=your-anthropic-api-key
GOOGLE_API_KEY=your-google-api-key
GROQ_API_KEY=your-groq-api-key
DEEPSEEK_API_KEY=your-deepseek-api-key 

▶️ Running the App

Launch the app using Streamlit:

streamlit run resume_agent.py

The app will open in your browser at:

📍 http://localhost:8501