Exploring the intersection of technology and problem-solving through innovative engineering projects.
Developed a high-accuracy deep learning model using PyTorch for plant species classification, training on a dataset of over 40,000 plant images across 25 different species, achieving 95% accuracy in identification.
Led development of an innovative ocean energy harvesting system during Waterpower Week 2023, focusing on creating a self-powered water monitoring solution using piezoelectric technology.