Second Place at BINOCUP 2024

At BINOCUP 2024, I secured second place by presenting a Minimum Viable Product (MVP) of an AI-powered medical assistance software. This innovative solution was designed to support radiologists in analyzing medical images, including MRIs, X-rays, and other diagnostic scans. The system achieved high accuracy in detecting critical conditions such as breast cancer and brain tumors, enabling faster diagnoses and improving patient outcomes through early detection of pathological anomalies.

• Developed an AI-powered tool for radiologists to enhance diagnostic accuracy.
• Focused on detecting breast cancer and brain tumors with high precision.
• Presented a scalable MVP with potential for clinical integration.

The project leveraged advanced deep learning techniques, including convolutional neural networks, to process and analyze complex medical imaging data. The software’s user-friendly interface and real-time analysis capabilities were key highlights, earning recognition for their potential to transform diagnostic workflows in healthcare.