Frequently Asked Questions (FAQ) about Medical Report Analyzer
Q: What is the Medical Report Analyzer? A: The Medical Report Analyzer is a web application that uses AI to provide medical report analysis, symptom analysis, and medicine information. It supports both English and Bengali languages.
Q: What types of medical reports can I upload? A: You can upload medical reports in JPG or PDF format.
Q: What kind of information can I get from the Medical Report Analysis feature? A: You can extract and analyze test results from medical reports, receive health insights, and get suggestions based on the analysis.
Q: How does the Symptoms Analysis feature work? A: You describe your symptoms in detail, and the AI provides potential conditions and an urgency level, along with immediate steps and precautions.
Q: What medicine information is provided? A: You can get detailed medicine analysis, including usage, side effects, and precautions. The information is personalized based on age and gender, and it includes dosage schedule analysis.
Q: Is the application available in multiple languages? A: Yes, the application supports both English and Bengali (বাংলা) languages, with instant translation of analysis results.
Q: What technologies are used to build the Medical Report Analyzer? A: The application uses Python/Flask for the backend, JavaScript/HTML/CSS for the frontend, Tailwind CSS for styling, Ollama with deepseek-r1:14b model for AI analysis, Tesseract OCR for text extraction, and Google Translate API for translation.
Q: What are the prerequisites for installing the Medical Report Analyzer? A: You need Python 3.8 or higher, Tesseract OCR installed, and Ollama with the deepseek-r1:14b model.
Q: How do I install Tesseract OCR? A: The installation instructions vary depending on your operating system. You can find detailed instructions in the installation section of the documentation.
Q: How do I run the application after installation?
A: Start the Flask server by running python app.py and then open a web browser and navigate to http://localhost:5000.
Q: Can I contribute to the project? A: Yes, contributions are welcome! You can submit a Pull Request with your changes.
Q: Under what license is the project licensed? A: This project is licensed under the MIT License. See the LICENSE file for details.
Q: How does the Medical Report Analyzer integrate with UBOS? A: The Medical Report Analyzer is available on the UBOS Asset Marketplace, showcasing how AI Agents can be used in healthcare. UBOS provides the platform for building, deploying, and managing AI Agents like this one.
Medical Report Analyzer
Project Details
- TanvirHafiz/Medical-report-analyzer
- MIT License
- Last Updated: 3/1/2025
Recomended MCP Servers
A lightweight MCP Server for integrating Google Docs, Sheets, and Slides with custom applications. Enables seamless document management,...
This is a Model Context Protocol (MCP) server that provides ID generation capabilities to AI assistants.
MCP VMI Testing
An MCP Server for querying InfluxDB
Demo MCP tool to capture URL screenshot.
CMR Model Context Protocol example
gitlab mcp





