IIT Roorkee develops world's first AI tool to decode Modi script into Devanagari
MoScNet uses a Vision-Language Model (VLM) architecture and performs far better than existing OCR tools. It's light, scalable, and ideal for use even in low-infrastructure regions where these manuscripts are found.
The AI tool was developed under Prof. Sparsh Mittal at IIT Roorkee, with help from students Harshal and Tanvi (COEP Pune) and Onkar (Vishwakarma Institute). Their work brought the model to life and shaped its real-world usability.SUPPORTS BHARATGPT, BHASHINI, AND GLOBAL HERITAGE EFFORTSThe model fits into big national missions like Digital India, BharatGPT, Bhashini, and even aligns with UN SDG Goal 11.4, which focuses on protecting cultural heritage. It could also be adapted globally for endangered scripts.Both the MoScNet model and the MoDeTrans dataset are now open-sourced on Hugging Face, allowing researchers worldwide to build on this innovation.- Ends
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