two-kerala-students-win-top-prize-in-global-hackathon

2 Kerala students win top prize in global hackathon

6th May 2020

Two students of Government College of Engineering, Kannur, won the first prize of $10,000 (Rs 7.5 lakh approximately) in a global competition for developing a virtual classroom amid the coronavirus lockdown.

Abinand C and Shilpa Rajeev, both doing second-year BTech (computer science) from the institution upstate, emerged toppers in the #CODE19 (against COVID-19) Hackathon for their ‘iClassroom’, a release issued by Kerala Startup Mission said here on Saturday.

A learning platform built for the millennial generation, it is backed by social media and enables peer-to- peer communication. The international #CODE19, which aims to support young entrepreneurs across continents, was organised by charitable organisation Motwani Jadeja Family Foundation and software solutions firm Hackerearth.

The event with ‘Education and awareness for fighting against COVID-19 as the theme, was held last month as part of an Industry Student Connect Programme at Malabar Innovation and Entrepreneurship Zone, Kannur.

‘iClassroom’ facilitates lecture recordings, online assignments and similar projects that can be the only viable option during an exigency like the lockdown, the release said. PTI

AI-driven student assessment solution for colleges

In a bid to help educational institutions keep the learning systems moving, online testing firm HireMee has unveiled artificial intelligence (AI)-based mid-term student assessments solutions like organising an online test live without any cheating possibilities for colleges.

Although colleges have adopted digital tools for online learning, the key challenge now is how to administer assessments and tests, and ascertain the learning outcomes.

HireMee provides a Cloud-based digital platform for employability enhancement for students and conducts assessments that employers can use, the company said in a statement.

The company said that to date, it has completed nearly a quarter million AI-proctored attempts, with a rejection of around 5 per cent attempts in the past 18 months in over 3,000 colleges in the country.

The AI/ML system is trained to process and compare images of the examinee taken during the test with candidate information provided and flag discrepancies to prevent impersonation.

“Face detection and recognition algorithms work in sync. The system captures any movement of the candidate eyes or ears and highlights such instances with corresponding images. Similarly, it can identify presence of other individuals nearby and ascertain if any external help is being sought by a candidate,” the company informed.

The system also locks down the application on which the assessment is being taken, thus restricting the navigation of candidates away from the assessment.

Several colleges have already tested these capabilities and are in the process of rolling out their mid-term assessments through the platform. IANS

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