This repository contains a PyTorch based Vision Transformer implementation trained on Devanagari Handwritten Character Dataset.

Recognizes devanagari digits in an image. (In progress)

"Devanagari Sentiment Analysis" is a project for analyzing sentiments in Hindi, Marathi, Punjabi, Gujarati text data. It preprocesses text, trains ML models, and visualizes sentiment with word clouds and scores.

This Project uses CNN for the classification and prediction of handwritten Devanagari script. Leveraging transfer learning techniques, it adapts pre-trained models to recognize and forecast characters in Devanagari, enhancing accuracy and efficiency.

Recognizing handwritten character image using CNN with the CNN model trained using image dataset

Machine Learning classifier for Devanagari Handwritten Characters

Devanagri Characters Handwritten Recognition using Keras, Tensorflow as backend, Flask for serving api and JQuery as frontend. Deployed via PaaS(Heroku)

Devanagari Handwritten Digits Dataset in CSV format

A Academic project done during 7th semester. Read blog at https://q-viper.github.io/2020/09/30/ocr-for-devanagari-handwritten-character-recognition-building-a-classifier/

Offline Nepali Handwritten Character Recognition Using Artificial Neural Networks