Live Demo: https://emosion.netlify.app/
This website showcases the integration of ReactJS and TensorFlow.js to deliver a compelling and interactive user experience. ReactJS, a prominent JavaScript library for developing user interfaces, is utilized alongside TensorFlow.js, a JavaScript library for training and deploying machine learning models in the browser.
The backend of the website incorporates a custom TensorFlow.js model responsible for handling various machine learning tasks. The frontend, built with ReactJS, effectively interacts with the TensorFlow.js model, enabling real-time predictions, visualizations, and other functionalities that leverage machine learning capabilities.
- Engaging user interface crafted using ReactJS.
- Seamless integration of a custom TensorFlow.js model for machine learning tasks.
- Real-time predictions or visualizations powered by the TensorFlow.js model.
- Modular ReactJS components ensuring scalability and maintainability.
- Streamlined deployment and hosting options for ReactJS applications.
To run this website locally, follow these steps:
-
Clone the repository:
git clone https://github.com/your-username/your-repository.git cd your-repository -
Install the dependencies:
npm install- Build the ReactJS application:
npm run build- Start the local development server:
npm start- Open your browser and visit http://localhost:3000 to access the website.