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An AI agent for chronic disease monitoring helps patients and healthcare providers \nmanage long-term conditions effectively. \nIt continuously analyzes health data from wearables, medical records, and patient inputs to detect early \nwarning signs. \nUsing AI and predictive analytics, it offers personalized insights, medication reminders, and lifestyle \nrecommendations. \nThe agent supports diseases like diabetes, hypertension, and heart conditions with real-time monitoring \nand alerts. \nIt enables proactive care, reduces hospital visits, and improves patient adherence to treatment plans. \nThis intelligent assistant bridges the gap between patients and providers, enhancing chronic care \noutcomes. \nTechnology - Use of IBM cloud lite services /IBM Granity is mandatory.\n\n---\n\n## Architecture\n\nDisclaimor: Current prototype stores patient history in CSV files.Future deployment replaces this with Cloudant/PostgreSQL.\n\n<img width=\"800\" height=\"500\" alt=\"image\" src=\"https://github.com/user-attachments/assets/af112196-9655-488d-8a53-86c5e36e4908\" />\n\n## Tech Stack \n\n| Component         | Technology                              |\n|-------------------|-----------------------------------------|\n| LLM               | IBM Granite (`ibm/granite-3-2-8b-instruct`) |\n| AI Platform       | IBM watsonx.ai (Cloud Lite)             |\n| Agent Framework   | CrewAI + LangChain                      |\n| Vector Database   | ChromaDB                                |\n| Embeddings        | IBM Slate (`ibm/slate-125m-english-rtrvr`) |\n| Backend           | FastAPI                                 |\n| Frontend          | React + Recharts                        |\n\n---\n\n## Setup Instructions\n\n### 1. Clone the repo\n```bash\ngit clone https://github.com/ay-sha-07/carewatch-ai\ncd carewatch-ai\n```\n\n### 2. Set up Python environment\n```bash\npython -m venv venv\nsource venv/bin/activate        # Windows: venv\\Scripts\\activate\npip install -r requirements.txt\n```\n\n### 3. Configure IBM credentials\n```bash\ncp .env.example .env\n# Edit .env and fill in your WATSONX_API_KEY and WATSONX_PROJECT_ID\n# Get free credentials at: https://ibm.com/watsonx\n```\n\n### 4. Generate synthetic patient data\n```bash\npython data/generate_patients.py\n```\n\n### 5. Build the RAG index\n```bash\npython -m rag.build_index\n```\n\n### 6. Start the backend\n```bash\nuvicorn api.main:app --reload\n# API running at http://localhost:8000\n# Docs at http://localhost:8000/docs\n```\n\n### 7. 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