/enri-thumbnails/careeropportunities1f0caf1c-a12d-479c-be7c-3c04e085c617.tmb-mega-menu.jpg?Culture=en&sfvrsn=d7261e3b_1)
/cradle-thumbnails/research-capabilities1516d0ba63aa44f0b4ee77a8c05263b2.tmb-mega-menu.jpg?Culture=en&sfvrsn=1bc94f8_1)
7e6fdc03-9018-4d08-9a98-8a21acbc37ba.tmb-mega-menu.jpg?Culture=en&sfvrsn=7deaf618_1)
Top 10 Team in Singapore - India Hackathon 2019
 |  |
About the competition: On 28 - 30th September 2019, MHRD Innovation Cell (MIC) along with All India Council for Technical Education (AICTE) and Nanyang Technological University, Singapore (NTU Singapore) jointly organised a second Singapore - India Hackathon, a fast-paced 36-hour competition to develop creative and innovative solutions focused on 5 problem statements. The hackathon had 20 teams composed of three university students each from India and Singapore. The Prime Minister of India, Narendra Modi, was present at IIT Madras on 30th September 2019 for the prize distribution ceremony of Singapore-India Hackathon 2019. Teams from Singapore were flown to Chennai to participate in the competition.
Date of the competition: 28 - 30 September 2019
Achievement: Top 10 team
Prize: S$2,000 per team
REP Students: Ding Si Han, Er Jun Jia, Gabriel Sze, Chin Zhi Wei, Jervis Chan, Vincent Yong
Product/Proposal: Each of the two teams dealt with two different problem statements. One team dealt with the problem of the lack of a centralized health data repository in India for policymakers and developers. They came up with an innovative solution that enables visualisation of predicted and actual disease outbreaks around India and optical character recognition to automatically parse forms and translate them into data for insertion into a database by labelling new data and retraining the object segmentation model YoloV3 using the Darknet framework.
The other team came up with an innovative solution that provides teachers with real-time feedback through an AI-powered application: Teach.AI. This application harnesses computer vision to track engagement of students in class through the deployment of a customized neural net built to evaluate the attention levels of students in class, enabling teachers with smart analytics and augmented intelligence.