Update README.md to include project metadata, structure, license, and acknowledgements

README.md

@@ -1,3 +1,16 @@
+---
+title: Resume Profile Extractor
+emoji: 📄
+colorFrom: blue
+colorTo: green
+sdk: docker
+sdk_version: "20.10.7"
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
 # 🚀 Resume Profile Extractor
 
 A powerful AI-powered application that automatically extracts professional profiles from resumes in PDF format. This application uses LLMs (via Groq) to intelligently parse resume content and generates structured profile data that can be used for portfolio generation, professional websites, and more.
@@ -103,3 +116,30 @@ The API is available at port 8000 when running locally, or through the Hugging F
 
 ## 🧩 Project Structure
 
+```
+agentAi/
+├── agents/            # AI agents for extraction and processing
+├── services/          # Backend services (storage, etc.)
+├── utils/             # Utility functions
+├── app.py             # Streamlit web application
+├── api.py             # FastAPI endpoints
+├── models.py          # Pydantic data models
+├── config.py          # Application configuration
+├── run_combined.py    # Script to run both services
+├── requirements.txt   # Python dependencies
+├── Dockerfile         # For containerized deployment
+└── README.md          # Documentation
+```
+
+## 📝 License
+
+MIT License
+
+## 🙏 Acknowledgements
+
+- [Groq](https://groq.com) for the LLM API
+- [Streamlit](https://streamlit.io) for the web framework
+- [FastAPI](https://fastapi.tiangolo.com) for the API framework
+- [LangChain](https://langchain.com) for LLM interactions
+- [Hugging Face](https://huggingface.co) for hosting capabilities
+