The teams ‘Think’ and ‘f@lc0n’, each consisting of six-members from semester four B. Tech. in Computer Science and Engineering B Batch and D batch of the School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, emerged as the second runner up in the Reboot Kerala Hackathon 2020. The hackathon was held at AKNM Government Polytechnic College, Malappuram, from February 21-23, 2020, based on the theme ‘Education’. Reboot Kerala Hackathon is Kerala’s biggest hackathon series presented by ASAP (Additional Skill Acquisition Programme) and Department of Higher Education. Reboot Kerala Hackathon is Kerala’s biggest hackathon series presented by ASAP (Additional Skill Acquisition Programme) and Department of Higher Education.
Team ‘Think’ was led by Jasna Suresh and the other team members were Vishnu D. K., Akhil Babu, Abhijith P. M., Goutham Thilak and Vaishnavi K. P. Their project was to build an automatic answer sheet evaluation system. Team ‘f@lc0n’ consisted of Amrutha Rajendran, A. J. Parvathi, Sidharth S., Ajith K., Sarath Mohan and Keshav Varma.
Both the teams received ₹20,000 as a cash prize, trophies and certificates. The hackathon series is conducted with the aim to find solutions for problems faced by various departments of the government, including Agriculture, Education, Tourism, Energy and Home affairs, etc. Various problem statements were provided to the selected teams. They were shortlisted out of the 3000 teams that participated in the online round.
The hackathon was conducted in two parts during three days. A 36-hour long hacking marathon was conducted for the students to build a solution for their problem statement, after which they were further shortlisted into 15 teams for pitching their presentation in front of a panel of 18 jury members. The team built an automatic answer sheet evaluation system using machine learning and natural language processing. The project was a web application that compares the answer key and the uploaded answer sheet using a semantic fingerprinting technique and displays a brief summary of the student’s answer along with an expected score that can be awarded.
