Building an Image-to-Text Converter with Handwritten Text Recognition

This project is a Flask-based web application that allows users to upload images containing text, which is then converted into digital text. The real challenge lies in enabling the app to accurately recognize handwritten text. To achieve this, I trained a custom model using PyTorch, focusing on a Convolutional Recurrent Neural Network (CRNN) architecture to handle the complexity of handwritten characters.