Current Volume 10
Health Predict Chatbot is an AI-driven web application designed to predict lifestyle-related disease risks and provide personalised preventive health guidance. The system collects user lifestyle information such as screen time, break frequency, posture, ergonomics, and BMI through an interactive interface. Using machine learning algorithms, it analyses the data and predicts potential conditions including digital eye strain, carpal tunnel syndrome, tech neck, and burnout. The application presents results through a visual dashboard and generates diet recommendations and preventive suggestions. Developed using Python, Streamlit and scikit-learn, the system promotes early awareness and preventive healthcare while operating in offline mode.
Artificial Intelligence, Lifestyle Diseases, Health Prediction, Machine Learning, Preventive Healthcare.
IRE Journals:
S. Geeviga, Karshavarthini M, Tamilarasan S, Shahithya R, Mouli B "AI-Driven Lifestyle Chatbot for Personalized Disease Risk Prediction and Preventive Health Guidance" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3549-3554 https://doi.org/10.64388/IREV9I9-1715177
IEEE:
S. Geeviga, Karshavarthini M, Tamilarasan S, Shahithya R, Mouli B
"AI-Driven Lifestyle Chatbot for Personalized Disease Risk Prediction and Preventive Health Guidance" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026, doi: https://doi.org/10.64388/IREV9I9-1715177
APA:
S. Geeviga, Karshavarthini M, Tamilarasan S, Shahithya R, Mouli B
(2026). AI-Driven Lifestyle Chatbot for Personalized Disease Risk Prediction and Preventive Health Guidance. Iconic Research And Engineering Journals, 9(9). doi: https://doi.org/10.64388/IREV9I9-1715177
MLA:
S. Geeviga, Karshavarthini M, Tamilarasan S, Shahithya R, Mouli B
"AI-Driven Lifestyle Chatbot for Personalized Disease Risk Prediction and Preventive Health Guidance" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026. Crossref, https://doi.org/10.64388/IREV9I9-1715177
@article{1715177,
author = {S. Geeviga, Karshavarthini M, Tamilarasan S, Shahithya R, Mouli B},
title = {AI-Driven Lifestyle Chatbot for Personalized Disease Risk Prediction and Preventive Health Guidance},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {3549-3554},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715177.pdf},
abstract = {Health Predict Chatbot is an AI-driven web application designed to predict lifestyle-related disease risks and provide personalised preventive health guidance. The system collects user lifestyle information such as screen time, break frequency, posture, ergonomics, and BMI through an interactive interface. Using machine learning algorithms, it analyses the data and predicts potential conditions including digital eye strain, carpal tunnel syndrome, tech neck, and burnout. The application presents results through a visual dashboard and generates diet recommendations and preventive suggestions. Developed using Python, Streamlit and scikit-learn, the system promotes early awareness and preventive healthcare while operating in offline mode.},
keywords = {Artificial Intelligence, Lifestyle Diseases, Health Prediction, Machine Learning, Preventive Healthcare.},
month = {March}
}