AI-Powered Retinal Scan Analysis: Developed a deep learning model using EfficientNet B0 to detect retinal abnormalities from scan images, enabling faster, more accurate medical diagnosis for conditions like diabetic retinopathy and glaucoma.
High Efficiency and Accuracy: Leveraged the lightweight EfficientNet B0 architecture to balance computational efficiency with high accuracy, allowing real-time image processing for practical deployment in clinical settings.
Tech: TensorFlow, Keras, EfficientNet B0, OpenCV, NumPy