AI-Powered Medical Report Analysis & Visualization
SmartMedReport Dashboard is a powerful AI-driven web application designed to streamline the analysis and validation of medical reports and insurance claims. It helps healthcare providers, analysts, and insurers visualize patient journeys, detect unnecessary tests, estimate potential cost savings, and validate medical claims against policy documents.
This full-stack solution combines a responsive frontend dashboard with a FastAPI backend, leveraging Groq's LLMs for intelligent insights and automation.
| Domain | Tools & Frameworks |
|---|---|
| Backend | FastAPI, Python 3 |
| Frontend | HTML, CSS, JavaScript, Chart.js |
| AI Integration | Groq API |
| Data Processing | JSON-based pipeline |
| Visualization | Dynamic charts, condition timelines, cost summaries |
| DevOps | Docker, Conda, Environment Variables |
| Deployment | FastAPI static file server on port 8081 |
- Interactive charts showing test results, patient risk scores, and condition timelines.
- Intuitive date filters and dynamic chart updates.
- Visual representation of a patient’s health journey from initial diagnosis to current condition.
- Auto-analysis of health trajectory and conditions over time.
- AI-backed identification of redundant or irrelevant medical tests.
- Suggested alternatives and cost-saving opportunities.
- Calculates and displays total cost of unnecessary tests.
- Itemized view with cost comparison and potential reduction.
- Highlights suspicious patterns or test irregularities.
- Assigns a risk score based on Groq’s LLM analysis.
- Validates medical documents against insurance policies.
- Highlights discrepancies between documents with detailed insights.
- One-click download of a PDF report with medical summary, cost analysis, and fraud insights.
- Clean and interactive frontend with dropdown filters, popups, and animated loading indicators.
- Responsive layout with sticky navigation and section highlights.
Before starting, ensure the following are installed:
- ✅ Python 3.8+
- ✅ Conda (Recommended for virtual environment)
- ✅ Docker Desktop (Optional for containerization)
- ✅ Groq API Key (Required for analysis and validation)
- Backend runs on:
http://127.0.0.1:8080 - Frontend dashboard on:
http://127.0.0.1:8081
Please ensure ports 8080 and 8081 are available before running.
https://github.com/DaivikM/SmartMedReport_Dashboard.git
cd SmartMedReport_Dashboardconda create -p venv python=3.12.9 -y
conda activate venv/pip install -r requirements.txtCreate and Set your API keys inside .env file:
GROQ_API_KEY = "your_token_here"
In the screenshot above, you'll see where to create the .env file and where to add your API keys of Groq
Terminal 1:
cd backend
python main.pyIf Docker is preferred, you can run the backend via:
cd backend
docker-compose up -d --buildTerminal 2:
cd frontend
python main.pyVisit:
http://127.0.0.1:8081
- ❗ Ports 8080 or 8081 not available? → Update them in
main.pyordocker-compose.yml. - 🔐 Groq API issues? → Ensure your key is active and correctly set.
- 🧾 No data displayed? → Make sure the required localStorage keys (
verify-stored,analyze-stored) are correctly set via your workflow.
This project is licensed under the MIT License.
You can freely use, modify, and distribute the software with attribution, and without any warranty. See the LICENSE file for more details.
- 📧 Email: dmohandm11@gmail.com
- 💻 GitHub: DaivikM
🧪 Clone this repository to explore real-time AI-powered Medical Report Analysis and Comparison, using Groq’s LLMs, FastAPI, and an interactive web dashboard for visualizing health insights and insurance policy matching.