Driver Distraction Detection using Machine Learning" enhances road safety by identifying distractions such as phone usage, eating, and more. Utilizing CNNs and the VGG16 model, it achieves high accuracy in real-time detection.

The Plant Disease Detection Web Application, known as 'CultiKure,' is a web-based tool designed to assist users in the early detection and management of plant diseases. Powered by the state-of-the-art VGG model and built with Flask, this application leverages advanced AI technology to analyze images of plant leaves.

This project detects whethere brain tumour is present or not using VGG-16 convolutional neural network

image search engine made using deep learning and vgg model of cnn architecture

Aplikasi CBIR untuk pengenalan Mobil

DoctorBuddy is website interface for Doctor and Patient for virtual appointments, Deep Learning is used to detect pneumonia from Chest X-ray image.

COVID-19 diagnosis using Chest X-Ray images with Transfer Learning

A Deep learning flask based application used to predict whether Person is having mask to his face or not

A convolutional neural network model that estimates canine breeds.

A Web App to generate caption for Images. VGG-16 Model is used to encode the images and extracting features and LSTM's will be used for training captions.

In this Project we aim to dive into a Present Societal Pandemic issue which we are facing around us past 2 years due to outbreak of Novel Corona Virus.  Getting tested for covid-19 virus is not an easy deal with costly RT-PCR test, and delayed results, and with its no. of variants with different mutations emerging everyday all the new methods f…

My Data Science Degree Capstone Project

A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.

A dog breed classifier made using Convolutional Neural Networks and Transfer Learning, as a part of the Udacity's Machine Learning Engineer Nanodegree.

COVID-19 disease classification with Chest X-ray using Transfer learning . Employed VGG16 as base model and a custom CNN architecture with 2 hidden layers as head model with good precision and recall scores.

Final Project of the Udacity AI Programming with Python Nanodegree

2 Dog Breed Classifiers; one made from scratch and another from pretrained VGG16, for Udacity DLND, made with ❤️ in Pytorch. Do 🌟 the repo and show some love. 🚀

AI Programming with Python Nanodegree program Finle Capstone Project