Create the necessary components for your user interface, such as a file uploader for users to upload images, a display area to show the uploaded image, and an area to display the classification results.

Set up a node.js application to serve as the backend for your project. This will handle API requests and serve the pre-trained machine learning model for image classification.

Deploy your backend and React frontend to a hosting service or cloud provider like Heroku

Ensure that your application is working correctly by uploading various images and verifying that the classification results are accurate and as expected.

Choose a pre-trained image classification model and load it into your node.js application using TensorFlow. Create an API endpoint that accepts an image as input and returns the predicted class and confidence score.

Implement functionality in your React components to send the uploaded image to the node.js API endpoint and display the returned classification results on the frontend.