APU’s IT & Computer Science Students Wins Multiple Awards at the International Innovation Arsvot Malaysia 2022

APU’s tech genius students bagged not one but 4 awards at the International Innovation Arsvot Malaysia 2022. Learn more about the winning projects here.

Updated 16 Aug 2022

APU’s IT & Computer Science Students Wins Multiple Awards at the International Innovation Arsvot Malaysia 2022 - Feature-Image

APU’s IT and Computer Science students have recently made a clean sweep by bringing home 4 awards — 2 gold and 2 bronze — at the International Innovation Arsvot Malaysia 2022 (IAM2022) competition held in June.

Themed “Innovations in Digital World '', IAM2022 is a prestigious platform for educators, students and the public to participate and showcase their innovations through digital platforms. The competition was organised and supported by the Consortium of Malaysian Universities (CMU); SEAMEO Regional Centre for Special Educational Needs (SEAMEO SEN), Malaysia; International STEM Association; MAS Giresources (MG); Institute of Metallurgy and Ore Beneficiation; Satbayev University -Kazakhstan; and Todox Digital Network.

The 4 teams from APU comprised 9 students and they did not disappoint when their digital innovation projects outperformed both local and international students.

The first contestant, a BSc (Hons) in Information Technology (Internet of Things) student, Keane Putra Setiawan, won gold with his project titled the ‘Smart Fire Alarm’. The project utilises a smart IoT system that can detect fire or potential fire in the environment and provide immediate responses to tackle the fire. These responses include warning lights, warning buzzers, and a water pump.

Similarly, the second team represented by Daniel Lee Kar Hoe, Lau Chu Han, and Liew Xin Yee, also bagged a gold award with their project titled the ‘Roadly Chatbot’. It was designed to be a knowledge-based chatbot that is aimed at mitigating and avoiding traffic accidents by educating users about Malaysian road signs in a conversational manner. The chatbot will include capabilities to predict road signs based on the user's image or video input. Lee is pursuing a Bachelor's Degree in Computer Science with a specialism in Data Analytics; Lau and Liew are BSc (Hons) in Computer Science students.

The third team consisted of coursemates Theenesh Sivakumar and Gells Tan Yin Zhao, both who are pursuing Computer Science with a specialism in Data Analytics. The team won the bronze prize with their project ‘TRAVO The Selangor Tourism Chatbot’ that helps tourists find their ideal travel destination through an AI-powered recommendation system.

Finally, Computer Science students Yam Chen Xi, Tan Tze Ying, and Chee Wei Keng also took home a bronze with their fashion expert AI chatbot, ‘Boutique Chatbot Description’. It functions as a personal stylist by understanding their needs and providing professional and personalised outfit mix-and-match suggestions that aim to enhance one’s fashion confidence.