Diabetes Prediction

Diabetes Prediction Desktop App – ML & GUI Integration

I developed a user-friendly desktop application that predicts the risk of diabetes based on patient input using machine learning models. This project focused on health relevance, ease of use, and real-time predictions.

Key Highlights:

Designed and implemented a clean GUI using Tkinter for data input

Integrated trained ML classification models to deliver instant prediction results

Implemented robust input validation, error handling, and result display

Prioritized healthcare simplicity for non-technical users

Tech Stack: Python, Tkinter, Machine Learning, GUI Design, Healthcare Data

If you're looking for a reliable developer to build intuitive healthcare tools or AI-powered desktop apps, feel free to reach out