Offline handwritten mathematical expression recognition via stroke extraction for Android

handwritten writer identification using classical machine learning pattern recognition techniques

A web app that is made to scan handwritten text and convert it to typed one and then performs tasks like translation and summarization of that text and this app has mode which let you find details of any medicine just by scanning it.

PyTorch Implementation of Fast Fourier Convolution-RNN with CTC loss for Handwritten Recognition

A deep learning project for recognizing handwritten mathematical expressions and converting them to LaTeX using the Counting-Aware Network (CAN) on the CROHME dataset.

Handwriting Digit & Character Recognition (Flask + TensorFlow)

HTR Transformer for Hungarian Language

🧠 Real-time Handwritten Digit Recognizer using PyTorch CNN & Tkinter. Features a custom "Smart Centering" algorithm for high accuracy on any drawing

Optical Music Recognition dataset for handwritten annotations in music scores of the long 19th century.

Repo containing the AI projects which was done during the Teach-A-Intern's 30 days internship program.

FocusFlow is a state-of-the-art handwritten digit recognition system built with PyTorch and FastAPI. It features an Attention-based CNN for high accuracy, real-time sketching via Gradio, and integrated Grad-CAM visualizations to explain model predictions, all containerized with Docker for easy deployment.

This project implements a Handwritten Recognition System using the IAM Dataset and a Convolutional Neural Network (CNN) model

This is a project made in Flutter for kana recognition by drawing the user's strokes using Tensorflow to recognize the drawn kana.

Gujarati character recognition using CNN with PyQt5 GUI for handwritten character classification.

HANDWRITTEN MATHEMATICAL EQUATION SOLVER

This project is a comprehensive solution for recognizing handwritten digits and text from images, with functionalities for training, testing, and usage, making it suitable for tasks like cheque amount verification and other handwritten text recognition applications.

基于 PyTorch CNN 的藏文手写数字（10类）与字母（30类）识别，附带数据集整理与网页在线演示（支持画板手写与图片上传）。PyTorch CNN for Tibetan handwritten digit & letter recognition, with curated dataset and web demo supporting canvas drawing and image upload

Handwritten character recognition (47 classes) on EMNIST Balanced. CNN achieves 88%+ accuracy. Deployed as a web app with a drawing canvas via FastAPI + Docker.

Deep learning web app for handwritten character recognition using CNN, RNN, and FNN with PyTorch and Gradio interface