Overview

 

This Gen AI project aims to utilize machine learning for healthcare by developing a web application that can detect various diseases such as asthma, cancer, diabetes, and stroke. The application provides real-time diagnosis based on predictive modeling. If a disease is detected, the user receives preventive measures and can engage in further conversation with an LLM chatbot specialized in that disease.

Features

• Real-time disease detection using machine learning: Instantly analyzes user-provided data to identify potential diseases.
• Personalized preventive measures for detected diseases: Offers tailored guidance based on the diagnosed condition.
• Interactive LLM chatbot for further consultation: A specialized chatbot provides more information and answers user queries related to the detected diseases.
• User authentication with sign-up and sign-in functionality: Secure access for personalized user interactions.
• Easy-to-use interface with intuitive navigation: Ensures a smooth user experience with clear and straightforward navigation.

Step-by-Step Process

1. User Registration: User signs up or logs in to the platform.
2. Access Diagnosis Page: On the home page, the user navigates to the diagnosis page.
3. Form Filling: The user fills out a form providing necessary information.
4. Disease Prediction: Based on the input, the application predicts whether the user has any of the specified diseases.
5. Preventive Measures: If a disease is detected, personalized preventive measures are provided to the user.
6. Chatbot Interaction: The user can engage in further conversation with a disease-specific LLM chatbot on the chat page.

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Unique Idea Brief

We have worked on both aspects of the problem statement: Disease Diagnosis and Treatment Recommendation.

• Disease Diagnosis: Involves identifying the disease based on information provided by the user through form-filling. A machine learning model specific to each disease is used for accurate diagnosis.
• Recommendation Process: Generates a detailed report that includes causes, symptoms, medical prescriptions, and suggested lifestyle changes.
• Additionally, there is an LLM-based chat-doctor, fine-tuned on a specific dataset (link mentioned below), which provides guidance on general medical-related questions.

Kaggle Datasets:

• Diabetes Dataset
• Asthma Dataset
• Stroke Dataset
• Cancer Dataset