Deepfake Detection, AI Smart Glasses Showcased At Hyderabad Conclave

One of the major attractions was a technology exhibition where participants explored AI-powered projects developed by students and researchers: Reports

Update: 2026-05-16 16:05 GMT
Team at C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS) and Jawaharlal Nehru Technological University Hyderabad (JNTUH)— DC Image

HYDERABAD: Artificial intelligence (AI) tools capable of detecting fake audio clips, converting videos into text and assisting visually challenged users through smart glasses were among the technologies showcased at the ‘AI for Next-Gen Education’ conclave organised by C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS) and Jawaharlal Nehru Technological University Hyderabad (JNTUH) on Friday.

One of the major attractions was a technology exhibition where participants explored AI-powered projects developed by students and researchers. Demonstrations included deepfake audio detection systems designed to identify manipulated voice recordings, video-to-text conversion tools aimed at improving accessibility and documentation, and AI-assisted smart glasses intended to support real-time assistance and navigation.

Researchers also presented digital twin models for power grids, AI-enabled learning management systems for personalised education and post-quantum cryptography-based satellite image storage systems focused on secure data protection.

JNTUH Registrar K Venkateswara Rao, director, academic and planning, V. Kamakshi Prasad, IQAC director M.V.S.S. Giridhar, C.R. Rao AIMSCS Director S. Venkataraman Rao and CEBD head U. Yughandhar stressed the importance of AI literacy, interdisciplinary learning and preparing students for an AI-driven future.

Sessions covered generative AI, large language models (LLMs), AI agents, automation and AI applications in healthcare, smart grids and digital infrastructure. Discussions on ethical AI focused on privacy, bias, fairness and security risks linked to increasing AI adoption. Panel discussions also examined AI skill development, workforce readiness and the growing use of personalised and AI-supported classroom learning systems.


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