Handwritten Digit Recognizer
An AI-powered desktop application that identifies handwritten numbers in real-time.
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.NET MAUIC#Machine Learning
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The Problem
Bridging the gap between machine learning models and end-user desktop applications.
The Solution
Integrated a digit recognition model into a .NET MAUI app, allowing users to draw on a canvas and receive instant predictions.
Technical Challenges
- —Processing canvas drawing data into a format the model understands
- —Optimizing model inference for real-time results
- —Designing an intuitive drawing interface