This project is a smart website developed to recognize faces in images submitted by users. It utilizes a combination of React, Node.js, Express.js, Knex.js, PostgreSQL, and Git to create a seamless user experience.
- Users can submit various image links.
- The submitted images are processed to recognize and remember faces.
- Authentication mechanism implemented to secure user data.
- Backend developed with Express.js for handling HTTP calls.
- PostgreSQL used as the database management system.
- Knex.js utilized for seamless interaction with the database.
- Bcrypt employed for authentication purposes.
- Deployment achieved using Render, a cloud application hosting platform for developers.
- React
- Node.js
- Express.js
- Knex.js
- PostgreSQL
- Git
This project allowed for a deeper understanding of web development concepts, particularly in creating robust backend systems and integrating authentication mechanisms. By leveraging a stack of modern technologies, it provides users with a smooth and efficient experience for image recognition and storage.
For more information, contact [[email protected]].
In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors 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.