Vertical Farming to solve Food Security problems in Singapore
By Team TonTon (Ong Zheng Jie, Teh Shureen, Yu Yiling)
For the Code for Cities hackathon organized by SMU Anthill and Surbana Jurong, Team TonTon chose to tackle the area of Food Security in Singapore. Their solution was to conduct vertical farming at HDB rooftops and pedestrian bridges, so that Singapore would reduce food reliance from other countries. As part of their analysis, they've also used machine learning models like clustering to cluster farms together based on their natural conditions and Artificial Neutral Networks to predict the future natural conditions of farms.
Real time Geospatial Analysis of harmful gas emissions
By Team Traffic Psychics (Biondi Lee, Joshua Jed Ghinn, Liam Wells Ayathan, Loh Kok Wee, Sherlin Choo)
By using real-time open source dataset of traffic images, Team Traffic Psychics created a Computer Vision model that analyses vehicular density at a particular location. By doing so they were able to calculate corresponding emissions data to monitor total harmful gas emissions of an area. Their analysis is also shown on a simple and intuitive dashboard.
Geospatial Analysis of Foreign Workers Dormitories in Singapore
Done by: Bradley Yeo Kian, Chua Yi Long Richie, Jin Ningxian, Khoo Chloe, Yeo Wei Ni
As part of the Smart Nation Primer, Team Niftie @ SMU did a geospatial visualization of locations of foreign workers dormitories in Singapore. Using the folium library in python, the students plotted a heatmap to show the distribution of the location of the dormitories.
Save Water Wally
By Team Wonkies (James Tee, Lee Ruei Lynn, Renee Lee Ying. Tanya Elizabeth Khoo)
In their proposed solution for the Code for Cities hackathon orgainzed by SMU Anthill and Surbana Jurong, Team Wonkies seeks to tackle the problem of water wastage in Singapore via a complementary 2-pronged approach, a mobile phone application, SaveWaterWally, and an external smart detector. Their solution seeks to help users cultivate water saving habit and reduce water wastage in Singapore by tracking and analyzing water usage data.
Analysis of the Built Environment
Done by: Gideon Ler, Khant Min Naing, Lin Xin Rose, Tan Xin Yi, Yeoshi Tan
As part of the Smart Nation Primer, Team SMU-Renergii worked on an analysis of Circularity in the Built Environment, with a case study on Singapore. The scope of their analysis looked at the 5 different building blocks of the built environment - Buildings, Transportation, Water, Waste and Energy. Using the circularity framework by the Ellen Macarthur Foundations, the group analyzed the circularity of current strategies adopted by Singapore and identified business opportunities for circularity innovation. Check out their report by scanning the QR code below!