NE EDUCATION BUREAU
CHENNAI, DEC 28
A team of students from Shiv Nadar University Chennai, the third initiative in higher education by the Shiv Nadar Foundation, was crowned as the winners of Smart India Hackathon (SIH) 2023, under the problem statement provided by the Ministry of Defence. SIH is a nationwide initiative to provide students with a platform to solve some of the pressing problems faced in our daily lives.
Team AIviate from Shiv Nadar University Chennai, emerged as the victorious force, clinching the top prize and Rs. 1 lakh in the software edition. They made a lasting impression at the Smart India Hackathon 2023.
- SIH is a nationwide initiative of the Ministry of Defence to provide students with a platform to solve some of the pressing problems faced in our daily lives
- Mentored by Dr Sundharakumar KB, Assistant Professor, Department of Computer Science and Engineering, the team comprised talented students, including Team Lead Kavin T, Harshitha S, Vishwa Kumaresh, J Karthik Palaniappan, Akhshan P, and Vishal Kalathil
- Team Alviate’s innovative idea on “Al-based alarm generation and payload dropping using drones” helped secure their spot in the Grand Finale for the software edition
The Grand Finale was held at several nodal centers and the team from SNU Chennai had the center at Kolhapur Institute of Technology (KIT) College of Engineering Campus in Kolhapur, Maharashtra. It was a two-day event packed with mentoring sessions and evaluations. Mentored by Dr. Sundharakumar KB, Assistant Professor, Department of Computer Science and Engineering, the team comprised talented students, including Team Lead Kavin.T, Harshitha S, Vishwa Kumaresh, J. Karthik Palaniappan, Akhshan P, and Vishal Kalathil.
The first four editions SIH2017, SIH2018, SIH2019, SIH2020 and SIH2022 proved to be extremely successful in promoting innovative out-of-the-box thinking in young minds, especially engineering students from across India.
From the initial internal hackathon with 80+ teams from SNU Chennai, only 40 teams were recommended for the subsequent round. Team Alviate’s innovative idea on “Al-based alarm generation and payload dropping using drones” helped secure their spot in the Grand Finale for the software edition.
Throughout two rounds of mentoring and three rounds of evaluation, Alviate worked over 30 hours of rigorous coding and hardware implementation. During the final evaluation session, the team presented their comprehensive solution, showcasing its uniqueness and effectiveness in addressing the given problem statement.
