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drawingboard

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Marathi-Letter-Recognition-ConvNet This project is Deep Learning Web Interfaced character recognition project. For sake of simplicity flask backend is used to minimize complexities. Basic working include you can draw the character on the canvas and system will detect the character. Tools used : Jupyter Notebooks - Model Building , Data analysis , Exporting model Flask - Python Backend library for Simple Backend with python integrations Bootstrap - Clean Looking Frontend Web face DrawingBoard.js - Used to Build the Drawable Canvas element Javascript - Lightwieght JS used for DOM manipulation

  • Updated May 6, 2022
  • Jupyter Notebook

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