Diabetes Predictor
A lightweight Python desktop app that analyzes eight patient measurements and provides a simple diabetes risk indicator.
What’s new
Modern clinical-style Tkinter interface
Eight patient measurements with input validation
Lower/elevated indicator with a likelihood gauge
Clear contextual explanation of results
Keyboard shortcuts and CLI fallback
No external runtime dependencies
Automated validation and result-format tests
Custom application icon
Built with: Python 3.10+ and Tkinter.
The indicator uses statistics from diabetes.csv to calculate a weighted score and compare inputs against the dataset baseline.
Important: This is a machine learning output based on a regression algorithm. The displayed percentage is not a medical diagnosis.
