Independent Research I

  • Mentored by Dr. Surajit Dey, BS Pharm, PhD at Roseman University (Junior Year, 2024 to Ongoing).

  • Spearheaded a research project investigating the use of AI Neural Networks for the “Early detection of breast cancer”, focusing on non-invasive risk factors.

  • Translated research into a practical tool by designing and launching Early Aware. (https://earlyaware.flutterflow.app/ ). The app provides users a preliminary cancer risk assessment based on readily available metrics like age, BMI, glucose, and insulin levels.

  • Developed and trained five distinct neural network classification models using the Breast Cancer Coimbra and Wisconsin datasets. The models were designed to classify tumors as benign or malignant, achieving a peak predictive accuracy of 99.12%.

  • Currently, I am authoring a formal research paper detailing the project's methodology, model performance, and findings, with the goal of submission to a peer-reviewed academic journal or conference.

  • Working on AI models to detect breast cancer using image scans which includes analyzing Ultrasound and MRI’s images.