https://github.com/iwolf22/face-tracking-software

Can track multiple faces. Predicts based off of someone's appearance, their age, gender, or emotional state. Built with TypeScript, ReactJS, MaterialUI, and TensorFlow!
https://github.com/iwolf22/face-tracking-software

ai computer-vision machine-learning material-ui reactjs tensorflow typescript

Last synced: 3 months ago
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Can track multiple faces. Predicts based off of someone's appearance, their age, gender, or emotional state. Built with TypeScript, ReactJS, MaterialUI, and TensorFlow!

• Host: GitHub
• URL: https://github.com/iwolf22/face-tracking-software
• Owner: iWolf22
• License: mit
• Created: 2024-03-17T00:14:36.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-05-19T15:00:55.000Z (about 1 year ago)
• Last Synced: 2026-01-03T22:46:46.105Z (6 months ago)
• Topics: ai, computer-vision, machine-learning, material-ui, reactjs, tensorflow, typescript
• Language: TypeScript
• Homepage: https://face-tracking-software-joshua-dierickse.vercel.app
• Size: 10.3 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Overview

Can track multiple faces. Predicts based off of someone's appearance, their age, gender, or emotional state. Built with TypeScript, ReactJS, MaterialUI, and TensorFlow!

## Preview of the App

https://github.com/iWolf22/face-tracking-software/assets/74108689/e63af714-af74-498c-93c7-cd3cbcb86ce5

Visit the Vercel hosted app here: https://face-tracking-software-joshua-dierickse.vercel.app/

## Technologies Used

1. HTML/CSS/TypeScript

2. ReactJS

4. MaterialUI

5. TensorFlow

## Running the App

1. Download or fork starting files to your local machine

2. Navigate to the ```my-app``` directory

3. Run ```npm install``` (assuming you have already installed ```npm``` locally)

4. Run ```npm start``` to launch app locally on ```http://localhost:3000/```