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10 February 2026

DECRYPT-X Tech Event Showcased AI, Data Science and Cryptography Skills

DECRYPT-X Tech Event Showcased AI, Data Science and Cryptography Skills

Bengaluru, 05 February 2026: JAIN (Deemed-to-be University), Bengaluru, successfully organised DECRYPT-X, a one-day inter-disciplinary technology event focusing on artificial intelligence, data science and cryptography, on 5 February 2026 at the Faculty of Engineering and Technology (FET), JAIN Global Campus, Kanakapura Road. The event was conducted by the DATA.AI Club of the Department of Artificial Intelligence and Data Engineering and witnessed enthusiastic participation from undergraduate students across all academic years.

Designed as a competitive, hands-on learning platform, DECRYPT-X aimed to introduce students to real-world applications of AI-driven reasoning, steganography, and data cleaning techniques. The event brought together 180 participating students, organised into 47 teams, reflecting strong engagement and interest in applied data technologies.

The inaugural session was graced by Dr Deepak K Sinha, Deputy Director - Industrial Interface and Training, FET; Dr Kamlesh Tiwari, Head of the Department - CSE; and Dr Rajanikanta Mohanty, Programme Head – CSE (Artificial Intelligence and Data Engineering). Addressing the participants, the dignitaries highlighted the importance of experiential learning and collaborative problem-solving in preparing students for industry and research careers. They emphasised that platforms such as DECRYPT-X play a vital role in bridging academic theory with practical application.

The event was conducted over three competitive rounds. The first round, Guess Who?, tested logical reasoning through an AI-assisted questioning format. The second round, Hidden in Plain Sight, introduced participants to steganography through progressively complex image-based challenges. The final round, Data Cleaning Contest, saw the top 20 teams work on a real-world FIFA dataset, applying data preprocessing and machine learning techniques to predict player ratings, evaluated using Root Mean Square Error (RMSE).

Speaking on the outcome of the event, a faculty representative from the DATA.AI Club noted that DECRYPT-X enabled students to “develop industry-relevant technical competencies while fostering teamwork, analytical thinking, and confidence in handling real-world data problems.”

The successful execution of DECRYPT-X reinforces JAIN (Deemed to be University)’s commitment to experiential education and innovation-driven learning, with the DATA.AI Club planning similar initiatives to further strengthen students’ readiness for emerging technology domains.