Preplp
Build & Deploy ML Apps

1. Introduction

5 minStep 1 of 14

Build a Streamlit app that opens your webcam and draws boxes around faces with Haar cascades

What you'll need

  • Python 3.8–3.10 recommended. Webcam required. Works best on a local machine (not all cloud hosts expose a camera).

Why this matters

Face detection is a classic computer-vision deploy skill — security cameras, photo apps, attendance systems. You learn cascade classifiers and how to ship a demo UI with Streamlit in minutes.

What you'll have at the end

A Streamlit page with a Start camera button. Click it, your webcam opens in an OpenCV window with green rectangles on detected faces. Press Q to quit. Good portfolio demo material.

StreamlitOpenCVHaar cascadewebcamcv2.imshow
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One rehearsal platform

Certification mocks, daily lessons, project labs, and in-browser drills

Structured for exam day and portfolio proof — timed tests, guided builds, and quick reps on one platform.