Gyan Bharatam Mission and Manuscript Digitisation

Key Highlights:

• The Gyan Bharatam Mission launched a National Manuscript Survey across all States and Union Territories.
• The survey identified and documented over 1.19 crore manuscripts in diverse languages and scripts.
• The Gyan Bharatam Web Portal utilizes AI technologies like Large Language Script Models (LLSM), Optical Character Recognition (OCR), and Handwritten Text Recognition (HTR).
• Key AI tools on the portal include Gyan Mitram, BharatiyaGPT, and Pandulipi Darpan for intelligent interpretation and access.

Detailed Insights:

• The National Manuscript Survey aims to identify and document manuscript holdings, repositories, and custodians across the country.
• The Gyan Bharatam Web Portal provides intelligent access to India’s manuscript heritage through semantic search and machine-assisted translation.
• Gyan Mitram is an AI-powered knowledge interface that integrates manuscript images, transcriptions, and translations for exploration.
• BharatiyaGPT offers "Manuscript-to-Conversational AI," converting heritage into AI-ready knowledge with multilingual and multimodal access.
• Its "Talk to Manuscript" feature allows text, audio, and voice-based interaction with India's knowledge traditions.
• Pandulipi Darpan is an AI-driven tool enabling script recognition, transliteration, and translation from digitized manuscript images.
• Access to digitized manuscripts is facilitated in accordance with applicable laws and rights, with public access via the National Digital Repository where permissible.

Scientific/Technical Concepts Involved:

• Artificial Intelligence (AI): Simulation of human intelligence processes by machines, especially computer systems.
• Large Language Script Models (LLSM): AI models trained on vast text data to understand, generate, and translate human language and scripts.
• Optical Character Recognition (OCR): Technology that converts different types of documents, such as scanned paper documents, into editable and searchable data.
• Handwritten Text Recognition (HTR): Technology that converts handwritten text from images into machine-encoded text.