client-side machine learning.

A simple Tensorflow object detection app to get exposed to machine learning, its implications, and how it can be integrated with front-end frameworks such as React. Uses the CocoSSD preprogrammed model to classify objects through the webcam or camera of the computer.

Procto is an Online Proctoring Tool that ensures Cheating free exams. It has features like Mobile Phone, Book, Laptop Detection, Multiple people detection, Key Press Detection, Tab Switch detection etc.

React Web Application to test the COCO SSD pre-trained model to detect objects through the User's Webcam or other video source. Uses Tensorflow.js to run the model directly in the browser.

Hand gesture and object detection in a Daily React app

An object detection application built using React.js, Tensorflow.js, and the COCO-SSD model, which is proficient in detecting over 90 classes of objects. The application allows users to select and preview images and display predictions on the objects present in the image. Utilized Styled-Components with React to create a fully functional program.

A Node.js API for Image Object Detection with Tensorflow.js & COCO SSD pretrained model

Small script to bypass hcaptcha with puppeteer

Object detection through TensorFlow JS

w/ react.js, TensorFlow.js In this project, I’ve built an object detector on React.js w/ Tensorflow.js and the COCO-SSD object detection model which relies on Tensorflow for object recognition. It is trained and capable of detecting more than 90 classes.

Smart app, aids visually impaired shoppers with store product info using AI, QR codes, speech synthesis.

Webcam Object detection in real-time.

This project demonstrates real-time object detection using a webcam, powered by TensorFlow.js and the COCO-SSD (Common Objects in Context - Single Shot MultiBox Detector) pretrained model.

The application allows users to open webcamp and detect live objects, and it uses the COCO-SSD model to detect and classify objects within the image. The predictions are displayed along with their confidence scores.

The application allows users to upload an image, and it uses the COCO-SSD model to detect and classify objects within the image. The predictions are displayed along with their confidence scores.

Fork of @charliegerard's FrontEnd Masters workshop on Machine Learning in JavaScript

SM SEC is a camera security surveillance web application brought to you by Sarthak Mishra