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Face Track

Real-time face detection and tracking web app using TensorFlow and OpenCV APIs.

Full StackWeb DevTensorFlowOpenCVPythonFlaskHTMLJavaScript
Source Code
Face Track
Shiven Goomer
Shiven Goomer@shivengoomer

Overview

Developed a web-based face tracking app using TensorFlow and OpenCV APIs for real-time face detection through webcam input.

Integrated Flask as a lightweight backend to serve video frames and process detection results in real-time.

Designed a clean and responsive web UI to visualize bounding boxes and detected faces directly in the browser.

  • Used TensorFlow for face recognition and OpenCV for video frame processing.
  • Built Flask-based backend to stream real-time video detection.
  • Interactive web interface to view live bounding boxes.
  • Lightweight deployment suitable for browser access.

Product Screens

1 screens

Screen 1

Face Track Page

Web interface for real-time webcam-based face detection and tracking powered by TensorFlow and OpenCV APIs.

Face Track Page screen 1
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