This repository contains Jupyter Notebooks for image classification tasks using Convolutional Neural Networks (CNNs). The included notebooks demonstrate techniques for classifying images from the CIFAR-10 dataset, handwritten digits using the MNIST dataset, and general CNN architectures.

This project aims to design and develop a computer vision-based system that detects whether individuals are wearing face masks in images. Images Face Mask Detection System With Code, Documents, Video, PPT, report

A machine learning-based project aimed at detecting and identifying plant diseases from images of affected plants. Plant Disease Detection Project with Code, Documents, PPT, Report And Video

A deep learning-based approach for automatic detection of brain tumors from magnetic resonance imaging (MRI) scans. Brain Tumor Detection using Deep Learning With Code, Documents, PPT, Report And Video

The Image Recognition System is a deep learning-based project that enables computers to recognize and classify images into different categories.

The Malware Detection Using Deep Learning Project aims to develop an efficient and accurate malware detection system using deep learning techniques.