Explore cutting-edge AI and machine learning projects that push the boundaries of technology and innovation.
A state-of-the-art deep learning system for detecting and classifying 8 ocular diseases from retinal images. Built on EfficientNet-B4 with enhancements like Stochastic Depth and Squeeze-and-Excitation layers, it achieves robust performance across diverse clinical scenarios.
This Streamlit application enables users to upload brain MRI images and perform tumor classification using a pre-trained ResNet18 model, with visualizations provided by various Grad-CAM techniques. The app supports four tumor classes: glioma, meningioma, no tumor, and pituitary.
This project is a modern YouTube clone application built using React JS and Material UI. The application aims to mimic the core functionalities of YouTube, including video browsing, searching, and viewing, all within a sleek and responsive user interface.