AI-Driven Diagnostic Assistant: Breast Cancer & Pneumonia Classification

Engineered a high-precision computer vision pipeline using DenseNet121 to assist in the automated screening of medical imaging. The model achieves 90% accuracy in identifying pathologies across MRI and X-ray datasets. To ensure accessibility, I deployed the model via a Gradio web interface, allowing for real-time inference and a streamlined 'human-in-the-loop' diagnostic workflow. Disclaimer: These AI tools are for informational and research purposes. Medical diagnoses must be made by qualified healthcare professionals.

Created at Mauaque Resettlement Center Gonzales Compound