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# 🧠 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:
```env
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
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