Image Tampering Detection WebApp made with Flask
This codebase makes use of CNN at the backend to transfer style from one image to another and then pushes notification on front end
Web based platform to track the daily and monthly carbon emissions of a user. CNN model is integrated to predict the average carbon emissions of various products.
Deep Learning Classifier for Recycling. Classifies objects into six recycling categories: Trash, Glass, Paper, Plastic, Metal, and Cardboard.
🚀 Welcome to the Deepfake Detection System project! This project detects deepfake videos using advanced machine learning techniques, leveraging pre-trained CNNs for feature extraction and LSTM networks for temporal modeling. The frontend is built with React, and Firebase is used for database management and user authentication.
video object segmentation
A handwriting number recognizer implementation using CNN MNIST on tensorflow-js.
"Covid19-Pneumonia-Detector" is a Django-ReactJS Web App with an Artificial Intelligence. It can detect COVID-19 and Pneumonia from X-ray Images using CNN based on DenseNet121 architecture.
Deep Learning-Driven Leaf Photo Analysis for Plant Disease Prediction is an innovative deep learning project that harnesses the power of Convolutional Neural Networks (CNNs) to revolutionize plant disease prediction.
Build, Compile, Train CNN models by creating flowcharts - Built with React Flow, Tensorflow.js, ReactJS and Socket.IO
handwritten digit recognition in node.js using tensorflow
Explore CNNs in action with my Dog Breed Classifier. Upload a dog image to the Gradio interface, and watch the model accurately predict the breed. Join me in uncovering the potential of CNNs in image classification! #MachineLearning #CNN #ImageClassification
A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.
Identifying whether person in the images wear eye glass or not using convolutional neural networks.
Build, compile and train CNN models for image classification - Built with Socket.io, Tensorflow.js and Next.js
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