International Research Journal of Education and Technology

The OCR-Enhanced Messaging Platform with Attention-Based Language Translation is designed to facilitate seamless multilingual communication by integrating Optical Character Recognition (OCR) and deep learning-based translation. The platform extracts text from images using a CNN+LSTM+CTC loss architecture, ensuring accurate recognition of printed and handwritten text. For translation, it employs an attention-based sequence-to-sequence model with LSTM and Bahdanau attention, improving contextual accuracy and fluency.The system is implemented with Flask for backend processing and Firebase for real-time data storage, enabling instant text extraction and translation in chat conversations. By combining OCR and neural translation models, this platform provides an efficient and scalable solution for breaking language barriers in real-time messaging applications.

Keywords - OCR, CNN+LSTM, CTC Loss, Attention Mechanism, Sequence-to-Sequence Model, Bahdanau Attention, Language Translation, Real-Time Messaging, Multilingual Communication, Deep Learning, Flask, Firebase