Author : Saggurthi Ramesh, Jaswanth Chowdary Myneni, Samatham Lokesh, Tottadi Janish
Date of Publication :5th April 2025
Abstract: This paper presents an AI-based web service aimed to encourage integrated health management involving nutritional counseling, disease screening and mental health assistance with the help of an interactive chatbot. The platform’s Nutritional Guidance feature provides users with customized insights into a wide range of food items, offering detailed nutritional information and recipe preparation instructions, with ingredient quantities that adjust based on serving size. The Disease Detection module assists users in characterizing some of the most common diseases with sub- sections for heart disease, diabetes, and skin diseases, all of which are driven by pre-trained, reliable models, to provide the right information in managing chronic diseases. Moreover, the platform also includes a Large Language Model (LLM)-based chatbot, implemented as an extension of Llama 3 based on Retrieval- Augmented Generation (RAG), for providing task- specific recommendations via interaction in text and voice. For people with cardiovascular or other chronic diseases, the chatbot may recommend nutrient - targeted foods that could be searched by users who would then see nutrition, recipe information and, if desired, place an order with the service directly. Involvement of medical personnel, specialisation in cardiology, diabetes and dermatology and collaboration with a nutritionist-based information, increases the platform's ability to facilitate physical well-being and mental well-being. This work illustrates the power of AI-based systems to deliver accessible, personalized health assistance, where users have access to a single platform for management of their holistic health and wellness.
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