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src=\"https://img.shields.io/badge/Python-3.10%2B-blue?logo=python&logoColor=white\" alt=\"Python\">\n  <img src=\"https://img.shields.io/badge/CrewAI-0.102-blueviolet\" alt=\"CrewAI\">\n  <img src=\"https://img.shields.io/badge/LLM-Groq%20%7C%20LLaMA%203.3%2070B-orange\" alt=\"Groq LLaMA\">\n  <img src=\"https://img.shields.io/badge/API-FastAPI-009688?logo=fastapi\" alt=\"FastAPI\">\n  <img src=\"https://img.shields.io/badge/UI-Streamlit-FF4B4B?logo=streamlit\" alt=\"Streamlit\">\n  <img src=\"https://img.shields.io/badge/license-MIT-green\" alt=\"MIT License\">\n</p>\n\nA multi-agent AI research pipeline that takes any topic and produces a polished, structured research report — powered by **CrewAI**, **Groq's LLaMA 3.3 70B**, and live web search.\n\n---\n\n## ✨ Features\n\n- 🤖 **3 specialist AI agents** — Researcher, Source Finder, and Report Writer\n- 🌐 **Live web search** via DuckDuckGo (no API key required)\n- 📄 **Structured reports** with Executive Summary, Key Findings, 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Researcher Agent                     │\n│     └─ Analyzes live search results      │\n│        and extracts key insights         │\n│                                          │\n│  2. Source Finder Agent                  │\n│     └─ Validates and structures URLs     │\n│        from search results only          │\n│                                          │\n│  3. Writer Agent                         │\n│     └─ Produces a professional report    │\n└──────────────────────────────────────────┘\n       │\n       ▼\n   Final Report (Markdown)\n```\n\nAll agents use **Groq's LLaMA 3.3 70B Versatile** via the CrewAI LLM wrapper.\n\n---\n\n## 📁 Project Structure\n\n```\nai-research-platform/\n├── src/\n│   ├── agents.py          # Agent definitions\n│   ├── tasks.py           # Task definitions\n│   ├── crew_manager.py    # Crew orchestration\n│   ├── search_tool.py     # DuckDuckGo web search\n│   ├── config_loader.py   # YAML prompt loader\n│   └── logger.py          # Application logger\n├── config/\n│   └── prompts.yaml       # Agent roles, goals, and backstories\n├── api.py                 # FastAPI REST endpoint\n├── app.py                 # Streamlit web UI\n├── main.py                # CLI entry point\n├── requirements.txt\n├── .env.example           # Environment variable template\n└── README.md\n```\n\n---\n\n## 🚀 Quick Start\n\n### 1. Clone the repository\n\n```bash\ngit clone https://github.com/allurimohansrisaivarma-coder/ai-research-platform.git\ncd ai-research-platform\n```\n\n### 2. Create a virtual environment\n\n```bash\npython -m venv venv\n\n# Windows\nvenv\\Scripts\\activate\n\n# macOS / Linux\nsource venv/bin/activate\n```\n\n### 3. Install dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 4. Configure environment variables\n\n```bash\ncp .env.example .env\n```\n\nEdit `.env` and add your [Groq API key](https://console.groq.com/keys):\n\n```env\nGROQ_API_KEY=your_groq_api_key_here\n```\n\n---\n\n## 🖥️ Usage\n\n### Option A — Command Line\n\n```bash\npython main.py\n# Enter a research topic: Future of Quantum Computing\n```\n\n### Option B — REST API\n\nStart the API server:\n\n```bash\nuvicorn api:app --reload\n```\n\nMake a request:\n\n```bash\ncurl \"http://127.0.0.1:8000/research?topic=Future+of+Quantum+Computing\"\n```\n\nResponse:\n\n```json\n{\n  \"report\": \"## Executive Summary\\n...\"\n}\n```\n\nAPI docs available at: [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)\n\n### Option C — Streamlit UI\n\n> **Note:** The API server must be running first (see Option B).\n\n```bash\nstreamlit run app.py\n```\n\nOpen [http://localhost:8501](http://localhost:8501) in your browser.\n\n---\n\n## 🔑 Environment Variables\n\n| Variable | Required | Description |\n|----------|----------|-------------|\n| `GROQ_API_KEY` | ✅ Yes | Your Groq Cloud API key. Get one free at [console.groq.com](https://console.groq.com/keys). |\n\n---\n\n## 🛠️ Tech Stack\n\n| Component | Technology |\n|-----------|-----------|\n| Agent framework | [CrewAI](https://www.crewai.com/) |\n| LLM | [Groq — LLaMA 3.3 70B Versatile](https://groq.com/) |\n| Web search | [ddgs (DuckDuckGo)](https://pypi.org/project/ddgs/) |\n| REST API | [FastAPI](https://fastapi.tiangolo.com/) |\n| Web UI | [Streamlit](https://streamlit.io/) |\n| Config | YAML via PyYAML |\n\n---\n\n## 🤝 Contributing\n\nContributions are welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.\n\n---\n\n## 🔒 Security\n\nFound a vulnerability? 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