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

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.

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.

My Data Science Degree Capstone Project

MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip

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…

Dog Breed Classification Project which classifies real world dog images and predicts their breed out of 133 breeds/classes. If supplied an image of a human face, the code will identify the resembling dog breed.

Recognize melanoma with convolutional neural networks

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

Predict the apparent age of a person possibly in real time. The model used is pre-trained on VGG16 architecture and then trained using a convolutional neural network on the ChaLearn LAP dataset which consists of 8000 image samples. Test Accuracy achieved – 84%.

Dog-Breed Classifier

AI Programming with Python Nanodegree program Finle Capstone Project

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

Dog Breed classifier and human detector model using Convolutional Neural Networks (CNN)

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. 🚀

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

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

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

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.