Medical Risk Assessment

Overview

The Medical Risk Assessment project is a web-based tool designed to analyze patient responses in real-time and assess potential medical risks. The system dynamically adapts by asking follow-up questions based on initial responses, enhancing the precision of the diagnosis. The project leverages AI and a comprehensive medical dataset for accurate health risk assessments.

Features

Natural Language Input: Users can enter symptoms in everyday language. Real-Time Analysis: The system processes user input immediately to predict potential health risks. Adaptive Responses: Based on the user’s initial input, the system asks relevant follow-up questions. Data-Driven Predictions: The tool uses a robust dataset of diseases and symptoms for accurate analysis. Tech Stack

Frontend: HTML, CSS, JS → React, Node.js Backend: LangFlow and Python LLM Model Dataset: Disease-Symptom dataset from Kaggle Try It Out

Experience the Medical Risk Assessment tool in action! 👉 Click here to try it out

Instructions: Enter symptoms into the text area in great detail (e.g., "I have a fever and sore throat"). Click the Submit button to receive real-time feedback on potential health risks. Dataset Information

This project uses a medical dataset containing:

773 unique diseases 377 symptoms ~246,000 rows linking various diseases with corresponding symptoms The dataset is a valuable resource for making accurate health predictions.

📂 Link to Dataset: Kaggle Disease-Symptom Dataset

Contribution

We welcome contributions! To contribute, follow these steps:

Fork the repository. Create a new branch: git checkout -b feature-branch Make your changes and commit them. Push your changes to the branch: git push origin feature-branch Open a pull request, and we’ll review it. License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or support, feel free to reach out:

Email: sohamkarandikar007@gmail.com GitHub: https://github.com/Soham-1304