Identifying whether person in the images wear eye glass or not using convolutional neural networks.
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Updated
Dec 7, 2021 - JavaScript
Identifying whether person in the images wear eye glass or not using convolutional neural networks.
Deep Learning (CNN)-based web application for recognizing and evaluating handwritten mathematical expressions.
CNN "recycling helper" with a React UI
🏛 Landmarks classification web app built with Vue.js and Keras.js
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.
Mango Leaf Disease Detection and Classification using CNN and DenseNet121
video object segmentation
This project is a web application that uses TensorFlow.js to train a convolutional neural network on the MNIST dataset to recognize handwritten digits, and allows users to draw their own digits on a canvas and have the model predict the number. It is compatible with both desktop and mobile devices.
Voice Emotion Recognition of Audio (VERA) is an ML model doing speech emotion recognition, a project made during the CUNY Tech Prep Fellowship program in 2022.
A deep learning model using CNNs for early detection of diabetic retinopathy with 95% accuracy. Built with Python, TensorFlow, and Keras.
TataSafeguard: A Comprehensive Analysis of Wiring Malfunctions, Structural Damage and Recommendations for Aircraft & Automobiles
"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.
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