This repository contains the front-end code for the FaceRecognition application. The application is built using Vite and Tachyons.
The FaceRecognition application is designed to recognize and detect faces in images. It utilizes a server-side API provided by the FaceRecognition-API repository. The front-end code in this repository interacts with the server to send images and receive the face detection results.
The technologies used in this project include:
- Vite: Vite is a fast and opinionated build tool for modern web applications. It provides a highly efficient development environment with instant server start and hot module replacement (HMR).
- Tachyons: Tachyons is a functional CSS framework that enables rapid prototyping and development of responsive and scalable user interfaces. It follows a "design-systems" approach and offers a wide range of pre-built utility classes for styling.
To get started with the FaceRecognition application, follow these steps:
- Clone the FaceRecognition-API repository.
- Set up and start the server according to the instructions provided in the repository's README file.
- Clone this repository (FaceRecognition) to your local machine.
- Install the necessary dependencies by running
npm installoryarn install. - Start the development server by running
npm run devoryarn dev. - Open your browser and navigate to the specified development server address (typically
http://localhost:3000).
Also, the app and the corresponding server are hosted on Render.
*The site is not currently working because the database is not being maintained.