Cervical Cancer Screening System
In collaboration with Saratani AI, I developed a groundbreaking application aimed at enhancing cervical cancer screening processes. This AI-driven tool utilizes advanced machine learning models, including ResNet 152 and EfficientNet, to analyze Pap smear images with high precision. The interface, crafted in Figma, is designed to be intuitive, ensuring ease of use for medical professionals.This project has been pivotal in facilitating early and accurate detection of cervical cancer, particularly in under-resourced areas.
By achieving an impressive prediction accuracy rate of over 95%, it has significantly bolstered the diagnostic capabilities of healthcare providers and contributed to the broader goals of public health improvement.I worked on a Mixed Integer Linear Programming project with a team of four to enhance profitability for Lake Saddleback Development Corporation. Our goal was to optimize land use across a 300-acre development.