AIML
Digits Analyzer
CNN-powered handwriting recognition
THE CHALLENGE
Identifying handwritten digits accurately in real-time requires efficient processing of image data and a robust model that can handle various writing styles and noise.
THE SOLUTION
What We Built
We implemented a deep learning model using TensorFlow and the MNIST dataset. The system features an interactive canvas for real-time testing and a multi-layer CNN architecture for maximum precision.
PythonTensorFlowMNISTOpenCVNumPy
RESULTS
Key Results
99.2%Classification accuracy
<50msInference speed
70k+Training samples
LightweightModel deployment
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