Harnessing machine learning to provide early awareness of diabetes and cancer risk factors — empowering you to take proactive steps toward better health.
Our AI model was trained on a curated dataset of 500 patients, covering five major cancer types and detailed metabolic health markers.
Balanced dataset with diverse demographics — equal representation across age groups and gender.
Liver, Breast, Multiple Myeloma, Ovarian and Prostate — each equally distributed across the dataset.
Glycated hemoglobin values used as the primary biomarker for estimating diabetes risk levels.
Wide age distribution enabling risk stratification across young adults, middle-aged and elderly populations.
From data input to risk prediction — our pipeline is fast, transparent, and built for accessibility.
Input key health metrics including HbA1c levels, age, gender, BMI and other relevant markers via the intuitive form interface.
Our trained machine learning model analyzes your data against learned patterns from 500 patient records to identify risk signatures.
A clear, easy-to-understand risk assessment is generated — showing diabetes probability and cancer risk level with actionable guidance.
This tool does NOT provide medical diagnosis. Risk scores are estimates based on statistical patterns and should not replace professional medical evaluation. Always consult a qualified healthcare professional before making any health decisions.
The gap between developing a disease and its detection is where outcomes are decided. AI-powered screening tools help close that gap — making risk awareness accessible to everyone, not just those with regular specialist access.
Enter your health data and let our AI generate your personalized risk assessment in seconds.
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