SwarSetu is an AI-powered multilingual platform that helps in the early detection and support of learning disabilities like dyslexia, dysgraphia, and dyscalculia through interactive assessments, voice support, and role-based dashboards for parents and teachers.

Dysgraphia detection through machine learning

Research Methods and Tools

Math Typing Application for those with Learning Disabilities

A Django App designed for those with dysgraphia. This is a part of a project currently being worked on as a part of the College curriculum.

Your handwriting your vision language model

Developed a Dysgraphia Detection web app using React, Flask, and TensorFlow to detect dysgraphia from handwriting samples. Built a CNN-BiLSTM model achieving 91% accuracy and provided structured reports for user-friendly diagnosis.

Computer Science final project - correcting spelling mistakes in hebrew handwritings (deprecated)

Bachelor Thesis in Computer Science and Engineering at University of Florence titled "Neural Networks for handwriting analysis with smart-pen".