Sensational!! Now, Asean-Indian Hackathon won by Chennai college students
Posted on: 13/Feb/2021 9:24:44 AM
For many decades, Sri Venkateswara College of Engineering in Chennai has been producing many brilliant graduates in the field of engineering. Now, this college could feel happy and proud by this sensational achievement of its 2 students.
From 1st to 3rd February 2021, a hackathon event was held in a virtual manner and two students belonging to the Computer Science and Engineering department of the above said college took part.
The computer engineering students Mr. Navin Sridhar and Mr. V. Kamalnath won this Asean-Indian hackathon event.
These 2 students were selected from over 5lakhs students across India after they have passed various online tests organised by the innovation cell belonging to the Union Education Ministry. Later, interviews were held and the 2 students were successful and they were selected to represent India. These 2 students were selected from over 1000 shortlisted teams.
It must be noted that Mr. Sridhar’s team included one student each from countries like Myanmar, Vietnam, Cambodia and 3 from India. The task that was given to the team was to find a suitable solution to prevent cheating and impersonation at the online tests that were not procured. Student’s authentication and prevention of cheating were needed to be addressed by the team.
Truth is that Mr. Navin Sridhar’s team came out with features that would keep the candidate focussed on the online screen during the test. It is brought out by the team that the room must be well lit and the suspicious objects (in the video) along with background voice should be flagged during the test. For student’s authentication, the team had suggested the use of face recognition technology.
Problem of the fishing boat activity was given to Mr. Kamalnath team and a solution was asked from the team that had 4 Indian students and 2 students from Myanmar. The team was of the view that the countries often relied on self-reporting by fishermen to identify their position in the sea and how this was not possible in Asia where thousands of smaller boats were operated. Point is that this team was asked to find a solution to assess the pattern of fishing.
Analysing data using AI systems and observing clustering of boats was suggested by Mr. Kamalnath’s team. The team highlighted that flags of the origin countries could be used for tracking repeated visits to the same fishing locations.
Black boxes and mobile apps would be provided and a small device would be given to the fisherman and they could keep that with them. To come up with a solution, the team relied on the present data about the fishing pattern based on the boats used. The fishing boats were classified as per their sizes and build and this would help to identify when straying.
