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**AI-powered multi-agent system**, built with **CrewAI**, that automatically generates a comprehensive **Statement of Work (SOW)** from a single problem statement.  \nIt streamlines the initial phase of project planning by reducing manual effort and ensuring a **high-quality, consistent output**.  \n\n---\n\n## 📜 Overview  \n\nCreating a detailed Statement of Work is a **time-consuming but critical** part of any technical project.  \nThis application automates that process using a **crew of specialized AI agents** powered by the CrewAI framework and Google’s Gemini models.  \n\nThe system takes a **single project idea** from a user and orchestrates a collaboration between agents to research, design, and document a complete project plan.  \n\nThe final output includes:  \n- 📄 A detailed **scope**  \n- ⚙️ A **recommended technology stack**  \n- 🗂️ A **dynamically generated architecture diagram**  \n- 💰 A **preliminary cost estimation**  \n- 📑 A **downloadable PDF version** of the 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Clone the Repository  \n```bash\ngit clone <your-github-repository-url>\ncd SOW-Agentic-Pipeline\n```\n\n### 2. Create and Activate a Virtual Environment  \n```bash\npython -m venv venv\n\n#activate Environment\n\n#on Windows:\n\n.\\venv\\Scripts\\activate\n\n#on MAC\n\nsource venv/bin/activate\n\n```\n\n### 3. Install Dependencies  \n```bash\npip install -r requirements.txt\n```\n\n### 4. Set Up Environment Variables  \n```bash\n'''\n1) Create a file named .env in the root of your project.\n2) Add your API key'''\n\nGOOGLE_API_KEY=\"your_api_key_here\"\n```\n### 5. 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