"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.

Devanagiri Character Recognition using CNNs

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

Machine Learning classifier for Devanagari Handwritten Characters

This Project uses Convolutional Neural Networks (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.