Sustainability Projects
Thermal cameras detect the radiation emitted by any material and translate it into temperature-color-coded images. This research project combines infrared thermography and machine learning (ML) to help stakeholders determine the viability of reusing existing buildings by identifying their pathologies. In this phase of the project, we used an image classification machine learning model of Convolutional Neural Networks (DCNN) to differentiate three levels of cracks in buildings.
SusTech 2023
presented at: 2023 IEEE Conference on Technologies for Sustainability
chatArctic
chatArctic is an AI platform that uses GPT models fine-tuned with specific climate data to share accurate information about climate change and the Arctic. It provides reliable answers supported by credible sources, making it easy for users to understand important environmental research.
created together with Arctic Basecamp
Buy Fresh - Buy Local
After the pandemic, the area of Northampton County got hit by a strong economic crisis. As the residents’ income reduced, so did the consumption of healthy food. The aim of our app is to help citizens learn about the different places where they can access sustainable food in the cities of Easton, Bethlehem & Allentown, according to their preferences & budget. Additionally, through the app, we support residents to shop from local shops, instead of supermarkets. they support local businesses, and help create a thriving sustainable economy
created together with Nature-Nurture Center, see more:
Creating Solutions for Community Challenges Promoting Sustainability through the Easton Climate Action Plan
Health & Wearables
chAIr
chAIr combines pressure sensors in your chair with computer vision to monitor your posture and alert you when it detects poor posture. You can view posture analytics on your computer, along with natural language feedback on how to improve it.
created at: Stanford 2024 TreeHacks Hackathon