AI-Powered Disease Detection from X-Ray Images (95% Accuracy)

I developed a deep learning model capable of detecting four types of lung conditions—COVID-19, Pneumonia, Tuberculosis, and Normal lung scans—using chest X-ray images. The model achieves 95% accuracy and is designed to assist healthcare professionals in diagnosing diseases quickly and efficiently.

Key Features & Achievements
✅ High Accuracy – The model achieves 95% accuracy in classification, ensuring reliable results.
✅ Deep Learning with MobileNetV2 – A lightweight yet powerful deep-learning architecture optimized for medical imaging.
✅ Data Balancing & Augmentation – Addressed class imbalances by oversampling underrepresented diseases, ensuring fair training.
✅ Automated Image Processing – The model automatically resizes, enhances, and standardizes X-ray images for optimal performance.
✅ Robust Testing & Validation – The system was rigorously tested on real-world X-ray datasets, achieving exceptional performance across all disease categories.