Impact Factor
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Volume 12 Issue 08
August 2026
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Abstract
The Diabetes Mellitus Is One Of The Fastest-growing Chronic Health Conditions Globally, Affecting Hundreds Of Millions Of Individuals And Imposing Significant Burdens On Healthcare Systems Worldwide. Early Identification Of At-risk Individuals Is Essential For Timely Intervention, Lifestyle Modification, And Prevention Of Severe Complications Such As Nephropathy, Neuropathy, Cardiovascular Disease, And Vision Impairment. This Paper Presents DiaPredict, An Intelligent, Web-based Clinical Dashboard Built Using React, Tailwind CSS, And Framer Motion, Designed To Deliver Real-time Diabetes Risk Prediction Through A Multi-parameter AI Model. The System Accepts Fourteen Clinically Validated Input Parameters Including Age, Gender, BMI, Fasting Or Post-meal Glucose Level, HbA1c Percentage, Blood Pressure, Insulin Level, Skin Thickness, Diabetes Pedigree Function, Physical Activity, Smoking, Alcohol Consumption, And Pregnancy History.
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Paper ID
IJSARTV12I6105696
Publication Date
June 18, 2026
Research Area
COMPUTER APPLICATION