Participated in a hackathon where I developed a facial recognition system using OpenCV for real-time image classification and tracking.
Collaborated on the CUSP Data Dive project, analysing complex road traffic data sets to generate impactful insights for social and environmental research into cycling in cities.
Contributed to the ‘AI against Carbon Impact’ initiative by developing machine learning models that estimate individual carbon footprints, aiding in the global push for environmental sustainability.
Developed a Java-based backend for handling real-time audio streaming, recording, and playback using Spring Boot. This project demonstrated efficient handling of high-volume audio data with low latency.