A facial emotion detection concept using React JS & the face-api.js

About The Project

• A facial emotion detection concept using React JS & the face-api.js.
• It consists of a photo capture mode with a gallery, and a real-time face detection mode.

APADS App

Built With

• React
• Tensor Flow

Written in Javascript ♥

Getting Started

Follow the instructions to set up the project on your local machine.

Prerequisites

Install NodeJS LTS

• npm

  npm install npm@latest -g

Installation

1. Clone the repo

   git clone https://github.com/Rishabh-malhotraa/Capstone-Project.git

2. Install NPM packages

   npm run install-modules

3. Start the react and nodejs server concucrrently

   npm run dev

Roadmap

See the open issues for a list of proposed features (and known issues).

Things To do

• Inital Landing Page
• Enable Video Feed
• Real Time Emotion Analysis using TensorFlow
• Adding Models from face-api
• Add Static Analysis of a picture
• Add CI/CD using github actions
• Deploy on Netlify

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Refer to this article if you have any difficulty in making a pull request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Rishabh malhotraa – @rish_bishhh – rishabhmalhotraa01@gmail.com

Discord : rishabh.malhotra#4193

Project Link: https://apads-app.netlify.app/

Acknowledgements

• react
• classnames
• face-apis
• font awesome
• Netlify
• Best-README-Template
• MIT License

Contributors ✨

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!