
INL Diagnostics — AI-Powered Tuberculosis Detection
Developed a machine learning system to assist in the early detection of tuberculosis (TB) from chest X-ray images. The project leverages deep learning techniques to classify images as TB-positive or negative, improving diagnostic support and accessibility. It also explores model interpretability and real-world applicability by addressing challenges such as dataset variability and clinical integration.
*In active development — launching mid-2026*



