HyzeACR

A lightweight image-classification model by HyzeAI

Chat with all models • HyzeAcademy • HyzeACR (Web Demo)

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The Live Demo

Go to https://hyzeacr.netlify.app

What This Project Does

This AI system classifies space related images into the following categories:

• Moons
• Planets
• Galaxies
• Nebulae

It supports: - Image based classification

How It Works

1. A trained machine learning model is loaded in the browser using TensorFlow.js
2. Any image of a Moon, Planet, Nebulae, or a Galaxy is uploaded to the model
3. The model predicts the most likely space object
4. The predictions are displayed

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How to use

1. The easiest way to use the model is by using the web demo at https://hyzeacr.netlify.app (The model is hosted with Google Cloud)
2. Install a local TensorFlow/Keras environment
3. Run this command pip install tensorflow numpy
4. Next write a python script to run the model

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Tech Stack

• TensorFlow.js (browser inference)
• Keras (model training)
• TensorFlow (ML framework)
• JavaScript (frontend logic)
• HTML (UI)

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Created by Hitesh Vinothkumar