Tensorflow.Js Programming Tutorials, Guides & Best Practices

• Filtering Detections: Display only specific classes (e.g., only people or vehicles).
• Custom UI Elements: Use p5.js to add buttons or controls that modify detection settings in real time.
• Performance Optimization: Experiment with frame rate adjustments or model parameters for faster detection.

Congratulations! You’ve built a real-time object detection web application using TensorFlow.js and p5.js. This project demonstrates how to integrate machine learning models into a browser-based environment and interact with live video feeds. With further experimentation, you can adapt this tutorial to a variety of creative projects, from interactive art installations to practical surveillance tools.

First, we need to set up a new React application. You can create a new app using create-react-app:

npx create-react-app ai-powered-interface
cd ai-powered-interface