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Healthsense AI Chatbot for Disease Prediction and Health Guidance
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I10-1716102
Abstract
This paper presents HealthSense AI, an intelligent healthcare chatbot designed to provide instant medical guidance and preliminary disease prediction based on user symptoms. The system uses a hybrid approach combining a local health knowledge database with a generative AI model (Google Gemini API). Natural Language Processing (NLP) is used to understand user queries and generate meaningful responses. The chatbot improves accessibility to healthcare guidance and reduces unnecessary hospital visits.
Keywords
Artificial Intelligence, Chatbot, Healthcare, Machine Learning, Natural Language Processing
How to cite this paper
@article{1716102,
author = {Uzma Shahbuddin Basri, Shwetali Devidas Italkar, Sakshi Balaji Lohar, Rutuja Shirish Kshirsagar, Prof. Kumbhar},
title = {Healthsense AI Chatbot for Disease Prediction and Health Guidance},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {722-724},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716102.pdf},
abstract = {This paper presents HealthSense AI, an intelligent healthcare chatbot designed to provide instant medical guidance and preliminary disease prediction based on user symptoms. The system uses a hybrid approach combining a local health knowledge database with a generative AI model (Google Gemini API). Natural Language Processing (NLP) is used to understand user queries and generate meaningful responses. The chatbot improves accessibility to healthcare guidance and reduces unnecessary hospital visits.},
keywords = {Artificial Intelligence, Chatbot, Healthcare, Machine Learning, Natural Language Processing},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716102}
}