"Calorie Counter", helps you stay fit , by using computer vision to find which item are you eating and giving you nutrition facts

A fast and lightweight AI-powered image classifier built with MobileNetV2, TensorFlow, and Streamlit. Easily identify panda images through a sleek web interface. Perfect for quick demos, ML learning, and image classification projects.

Handwritten character recognition web app built with TensorFlow (CNN trained on EMNIST), FastAPI, and React + Vite + Tailwind. Users can upload images to get real-time character predictions with confidence scores. 🔗 Live demo: https://emnist-char-classifier-1.onrender.com

Tensorflow.js example implementation - A browser-based image classifier built with TensorFlow.js that detects whether an image shows a "clean" or "dirty" scene. This demo was created for a talk on deploying machine learning models to the web.

In this repo, I have implemented a simple machine learning web application using TensorFlow.js. First I loaded and then used a pretrained MobileNet model for classifying images from webcam. Then customized the model to classify images into three custom categories. Be sure to visit js.tensorflow.org for more examples and demos with code to see how you can use TensorFlow.js in your applications.

FireVision is a web demo of a satellite-based fire detection system. A 3D Earth view allows you to select a point on land, then AI (TensorFlow.js) classifies the image as Wildfire/No Fire/False Alarm, indicating confidence and a SAFE/DANGEROUS status. Using two images, we estimate the area and the direction/speed of spread.