Achievements

STUDENT ACHIEVEMENTS DETAILS:

The victorious team "Contra" comprising six students from CSE-AI, emerged triumphant in the Kavach Hackathon 2023. The event took place at Centurion University in Odisha. The team, originally from CSE-AI 2A and now in CSE-AI 3A batch, specialized in the domain of Cybersecurity. Their project, named "Helmdall," stands as an enterprise-level security auditing solution. It integrates real-time threat intelligence to enhance the fortification of digital landscapes. The project specifically addresses the problem statement of developing a "Plug and Play Security Auditing Tool for Windows and Linux."
Team Contra demonstrated their exceptional skills and innovative approach, earning them the top position in the competition. The team members are as follows:
1. Saurabh Kumar Sharma
2. Pritam Mukherjee
3. Anshuman Krishna Yadav
4. Ankit Agarwal
5. Arunabha Chowdhury
6. Kusum Bandopadhyay

Team "Contra" proudly displaying the victory cheque for KAVACH 2023

The accomplished team "Contra" comprising six students from CSE-AI, secured victory in the Smart India Hackathon (SIH) 2023. The event took place at RCET, Bhilai. The team, currently in the CSE-AI 3A batch, showcased their expertise in the domain of Blockchain and Security. Their project, named "Samklaang," presents an innovative approach to reimagining video conferences. Specifically designed for the problem statement of creating a "Meeting platform for AICTE," Samklaang aims to revolutionize virtual meetings.
Team Contra's exceptional skills and dedication led them to success in the competition. The team members who contributed to this achievement are:
1. Saurabh Kumar Sharma
2. Pritam Mukherjee
3. Anshuman Krishna Yadav
4. Ankit Agarwal
5. Arunabha Chowdhury
6. Kusum Bandopadhyay

Team "Contra" proudly displaying the victory bank cheque for SIH 2023

In ICSSAI-23 at Techno India University, Maheak Dave and Saurav Kumar Sharma, third-year students in CSE-AI, along with their supervisor secured the Best Paper Award for their work on “Pneumonia Detection from Chest X-ray Plates using an Attention-based CNN Architecture”