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It uses a multi-agent pipeline built with **CrewAI** and **Google Gemini** to automatically qualify incoming leads, recommend matching properties, and dispatch personalized results via Gmail — all through a sleek single-page frontend.\n\n---\n\n## Features\n\n- **Lead Qualification Agent** — Scores each lead as Hot, Warm, or Cold based on budget, location, property type, and buying timeline\n- **Property Matching Agent** — Recommends 3 tailored properties for every qualified lead with detailed reasoning\n- **Automated Gmail Dispatch** — Results are emailed directly to the lead without any manual step\n- **FastAPI Backend** — Exposes a single `/analyze` endpoint that orchestrates the entire agent pipeline\n- **React Frontend** — Custom HTML/React UI with a luxury dark aesthetic for submitting leads and viewing results\n\n---\n\n## Tech Stack\n\n| Layer | Technology |\n|---|---|\n| AI Agents | [CrewAI](https://crewai.com) |\n| LLM | Google Gemini 2.5 Flash (via LiteLLM) |\n| Backend | FastAPI + Pydantic |\n| Email | Python `smtplib` + Gmail SMTP |\n| Frontend | React 18 (CDN) + Babel Standalone |\n| Config | python-dotenv |\n\n---\n\n## Architecture\n\n```\nFrontend (real-estate-ai.html)\n        │\n        │  POST /analyze  { name, email, budget, location, property_type, timeline }\n        ▼\nFastAPI Server (server.py)\n        │\n        ├── Agent 1: Lead Qualifier\n        │       └── Scores lead → Hot / Warm / Cold + action plan\n        │\n        └── Agent 2: Property Matcher (receives Agent 1 output as context)\n                └── Recommends 3 properties with explanations\n                        │\n                        └── send_email() → Gmail SMTP → Lead's inbox\n```\n\n- `main.py` is a standalone script version for testing the agent pipeline directly from the terminal without the HTTP server.\n- `server.py` is the production FastAPI entry point.\n\n---\n\n## Getting Started\n\n### Prerequisites\n\n- Python 3.10+\n- A [Google Gemini API key](https://aistudio.google.com/app/apikey)\n- A Gmail account with an [App Password](https://myaccount.google.com/apppasswords) enabled\n\n### Installation\n\n```bash\n# Clone the repo\ngit clone https://github.com/VikrantKuntal1/estateiq-ai.git\ncd estateiq-ai\n\n# Create and activate a virtual environment\npython -m venv venv\nsource venv/bin/activate      # macOS/Linux\nvenv\\Scripts\\activate         # Windows\n\n# Install dependencies\npip install fastapi uvicorn crewai crewai-tools python-dotenv\n```\n\n### Configuration\n\nCreate a `.env` file in the project root:\n\n```env\nGEMINI_API_KEY=your_gemini_api_key_here\nGMAIL_ADDRESS=your_gmail@gmail.com\nGMAIL_APP_PASSWORD=your_16_char_app_password\n```\n\n> **Never commit `.env` to version control.** It is listed in `.gitignore`.\n\n### Running the Server\n\n```bash\nuvicorn server:app --reload\n```\n\nThe API will be available at `http://localhost:8000`.\n\n### Using the Frontend\n\nOpen `real-estate-ai.html` directly in your browser. 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