🎯 Real-Time Object Detection in the Browser | HTML, CSS & JavaScript + CV
🚀 Experience the power of computer vision directly in your browser!

In this short, I demonstrate a lightweight and responsive real-time object detection project built using HTML, CSS, and JavaScript integrated with Computer Vision (CV) techniques. Watch as the model accurately detects and highlights objects in live video — all running natively in the browser, without the need for external software or plugins.

💡 Project Highlights:

Real-time video processing using the browser’s webcam

Object detection powered by TensorFlow.js / ML models (optional to customize here)

Sleek UI styled with responsive CSS

Fully client-side: No server or backend required

Lightweight and fast for web deployment

🛠️ Tech Stack:

HTML5 + CSS3 for structure & styling

JavaScript (Vanilla or with libraries) for logic and model handling

[TensorFlow.js / COCO-SSD / MediaPipe – modify based on what you're using]

🌐 Whether you're a beginner learning computer vision or a web developer exploring AI in frontend projects, this demo is a great starting point.

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📁 Want the source code or a full tutorial? Comment below or check the pinned comment for the GitHub link!

#Shorts #ObjectDetection #ComputerVision #JavaScript #HTML #CSS #WebDevelopment #AI #TensorFlowJS #FrontendAI #decoding #blaze