Interactive Chatbot For Diabetes Risk Prediction

Author(s)	Prof. Karpagam V, Ms. Amritha Mahalakshmi PG, Ms. Divya TK
Country	India
Abstract	Diabetes is a chronic health condition that affects millions worldwide, often progressing silently until serious complications arise. Early identification of individuals at risk can significantly improve health outcomes and reduce healthcare costs. This research focuses on developing an interactive chatbot that utilizes a combination of user-provided health data and machine learning algorithms to predict the risk of diabetes. The chatbot engages users in a conversational interface, collects relevant health parameters such as age, BMI, family history, and lifestyle factors, and provides an immediate risk assessment. The system aims to assist individuals in understanding their potential risk and encourages proactive health management through recommendations and alerts.
Keywords	Diabetes, Chatbot, Risk Prediction, Machine Learning, Healthcare, Interactive System
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-24
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.58707

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International Journal For Multidisciplinary Research