AI/ML

Handwritten Digit Reconition Using Cnn And Regression

Handwritten Digit Recognition using Convolutional Neural Networks (CNN) and Regression is an advanced application of machine learning that aims to create a robust model for accurately identifying and classifying handwritten digits. In this context, a systematic and effective approach is employed to leverage the capabilities of deep learning to recognize patterns within digital representations of handwritten numerical characters.

Technologies That We Use

• Python 3.7
• Python/Framework/flask
• Machine Learning and AI
• Anaconda Navigator is a graphical user interface for managing Python environments, packages, and data science tools in a user-friendly way.
• UI/UX ( HTML/CSS/BOOTSTRAP)