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.
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.
A Flask-based ML application that predicts blood groups using fingerprint images. It integrates a TensorFlow (Keras) model with 89% accuracy, featuring user authentication, database management with Flask SQLAlchemy & SQLite, and a frontend built using flask. 🚀
My Data Science Degree Capstone Project
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.
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…
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%.
COVID-19 diagnosis using Chest X-Ray images with Transfer Learning
Dog-Breed Classifier
AI Programming with Python Nanodegree program Finle Capstone Project
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.
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