This research explores the landscape of Automatic Speech Recognition (ASR) datasets for Indian languages. By examining publicly available and proprietary speech corpora, the study highlights the opportunities and challenges of developing multilingual AI systems that support accurate speech recognition, language preservation, digital accessibility, and inclusive human–computer interaction across India's diverse linguistic ecosystem.
This project applies Artificial Intelligence, Natural Language Processing, and computational linguistics to the study of Citrakāvya, one of the most sophisticated traditions in Indian classical poetry. By developing automated methods for structural pattern recognition and poetic classification, the research provides innovative tools for literary analysis, digital humanities, and the preservation of India's linguistic and cultural heritage.
This research explores the application of Artificial Intelligence and Natural Language Processing (NLP) to Sanskrit, one of the world's oldest and most linguistically sophisticated languages. By developing intelligent computational models for morphological analysis, Sandhi splitting, compound processing, and language understanding, the project advances digital preservation, linguistic research, and AI-driven access to India's rich literary and cultural heritage.
This project explores the integration of Artificial Intelligence, semantic search, and Retrieval-Augmented Generation to build intelligent information retrieval systems for Indian Knowledge Systems. By combining structured knowledge bases, fuzzy search algorithms, semantic retrieval, and large language models, the research enables reliable access to authentic scholarly resources while supporting digital humanities, cultural preservation, and next-generation knowledge services.
This project applies Artificial Intelligence, Natural Language Processing, semantic search, and speech technologies to develop intelligent querying frameworks for Indian Knowledge Systems. By combining entity recognition, multilingual semantic retrieval, and voice-enabled interfaces, the research creates advanced tools that support scholarly research, knowledge extraction, and the digital preservation of India's literary and cultural traditions.
