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Navigate to the backend directory:\n```sh\ncd backend-flaskapi\n```\n2. Install dependencies:\n```sh\npip install -r requirements.txt\n```\n3. Run the FastAPI server:\n```sh\nuvicorn main:app --reload\n```\n\n### Frontend (Streamlit)\n1. Open a new terminal and navigate to the frontend directory:\n```sh\ncd frontend-streamlit\n```\n2. Install dependencies:\n```sh\npip install -r requirements.txt\n```\n3. Run the Streamlit app:\n```sh\nstreamlit run app.py\n```\n\n## Technologies Used\n- **FastAPI** (Backend API)\n- **Streamlit** (Frontend UI)\n- **LangChain** (LLM-powered query processing)\n- **Google Gemini AI** (Natural Language Processing)\n- **Pandas \u0026 NumPy** (Data analysis)\n- **Matplotlib** (Data visualization)\n- **Docker \u0026 Docker Compose** (Containerization)\n- - **Titanic Dataset** (from kaggle)\n\n## License\nMIT License\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsincerelyyyash%2Ftitanic-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsincerelyyyash%2Ftitanic-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsincerelyyyash%2Ftitanic-chatbot/lists"}