This application is crafted with React and leverages the faceapi.js library, which, in turn, is constructed upon tensorflow.js. This library simplifies the process of detecting, analyzing, and comparing faces within an image. To enhance detection accuracy, multiple expressions, including happy, angry, neutral, surprised, sad, etc., are captured during the analysis. Additionally, the application incorporates gender detection, providing an extra layer for refining result accuracy.
This project was bootstrapped with Create React App.
To run this project on your local machine, follow the steps below:
- Clone this repository on your machine using the command
git clone https://github.com/masud70/Face-Matcher.git
- Go to the project folder
- Now install all the dependencies running command
npm install
- Finally, run any command described below.
In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
Lint errors are visible in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.