THE DIATRACK – Diabetes Type Detection using AI And Machine Learning

Diabetes is a chronic condition that requires accurate diagnosis and effective management to prevent complications. This project focuses on developing an AI-powered Diabetes Detection and Diet Recommendation System, which classifies individuals into Type 1 or Type 2 diabetes based on key health parameters such as glucose levels, insulin levels, HbA1c, ketone levels, and BMI. The system not only identifies the type of diabetes but also categorizes the severity of the condition to provide personalized diet plans tailored to the patient's specific needs. Additionally, the platform integrates a chatbot assistant, offering real-time guidance, answering user queries, and enhancing patient engagement. This solution aims to simplify diabetes management, empower patients with the right dietary recommendations, and provide continuous AI-driven support for better health outcomes.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
Electromagnetic Compatibility and Measurements
Type
article
Field-Weighted Citation Impact
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article

THE DIATRACK – Diabetes Type Detection using AI And Machine Learning

PhilPapers (PhilPapers Foundation)
Electromagnetic Compatibility and Measurements
article

THE DIATRACK – Diabetes Type Detection using AI And Machine Learning

article en

Abstract

Diabetes is a chronic condition that requires accurate diagnosis and effective management to prevent complications. This project focuses on developing an AI-powered Diabetes Detection and Diet Recommendation System, which classifies individuals into Type 1 or Type 2 diabetes based on key health parameters such as glucose levels, insulin levels, HbA1c, ketone levels, and BMI. The system not only identifies the type of diabetes but also categorizes the severity of the condition to provide personalized diet plans tailored to the patient's specific needs. Additionally, the platform integrates a chatbot assistant, offering real-time guidance, answering user queries, and enhancing patient engagement. This solution aims to simplify diabetes management, empower patients with the right dietary recommendations, and provide continuous AI-driven support for better health outcomes.

PhilPapers (PhilPapers Foundation)
Openalex Percentile: Top 50%
Electromagnetic Compatibility and Measurements
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THE DIATRACK – Diabetes Type Detection using AI And Machine Learning · PhilPapers (PhilPapers Foundation) (2025) | TGRS Research Map | TGRS