Upload an image to find your Bollywood celebrity look-alike

In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

Graphic - The PhotoVerse, a one-stop progressive web app for photographers and photography enthusiasts! Exhibit, sell, and get hired all in one place. With Graphic, you can showcase your work, create your portfolio, generate artistic images by combining art with photography, and even earn revenue by selling your digital art.

This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.

Build end-to-end DL pipeline for computer vision (Image classification) for “Chest Disease Classification from Chest CT Scan Images” and deploy Flask web app to AWS EC2 with Docker and CI/CD tool: Jenkins

Implementation of MLops pipeline for Chest Disease Classification from Chest CT Scan Images using computer vision Vgg16 pretrained Image classification model. further perform deployment on AWS EC2 using Docker, CI/CD Jenkins tool, using Flask as front end interface.

A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models

Breast Cancer H&E classification of Images and Image Generation

Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.

Website to explain the working of Cyberbullying detection and prevention app in social media

This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.

This is my graduate thesis, a mobile applicaiton with computer vision

Chicken disease classification

image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition

A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16

PulmoDetect Image Analysis

This project focuses on leveraging deep learning techniques to predict lung disease, specifically pneumonia, from chest X-ray images.

Brain tumor detection and prediction using keras vgg-16