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Overview The Code Quest AI Hackathon 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 a llm chatbot specialized in that disease.

Features Real-time disease detection using machine learning Personalized preventive measures for detected diseases Interactive llm chatbot for further consultation User authentication with sign-up and sign-in functionality Easy-to-use interface with intuitive navigation Step-by-Step Process in llm User signs up or signs in to the platform. On the home page, the user can navigate to the diagnosis page. In the diagnosis page, the user fills out a form providing necessary information. Based on the input, the application predicts whether the user has any of the specified diseases. If a disease is detected, preventive measures are provided to the user. The user can engage in further conversation with a disease-specific llm chatbot on the chat page. Unique Idea Brief We have worked on both aspects of the problem statement, i.e, Disease Diagnosis , treatment Recommendation.

The disease diagnosis part consists of the identification of disease based on information received from user through form-filling. Then ML model specific to that disease is used for the diagnosis of the particular disease.

The recommendation process plans out a detailed report regarding causes, symptoms, medical prescription and changes to be made in living style.

There is a LLM based chat-doctor finetuned on dataset , which can given guidance on general medical related questions.

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