Preplp
Build & Deploy ML Apps

1. Introduction

6 minStep 1 of 19

Build a Flask app that watermarks uploads — logo overlay or text, with OpenCV

What you'll need

  • Python 3.8–3.10 recommended. You need a terminal, a code editor, and pip. Tesseract not required for this project.

Why this matters

Watermarking is a real deployable skill: protect stock photos, brand social images, or preview paid assets. You practice the same loop as production ML apps — upload → process with OpenCV → return a file — without needing a GPU.

What you'll have at the end

A local Flask site at http://127.0.0.1:5000 where you upload a photo, pick logo or text mode, and see the watermarked result in the browser. That is portfolio-ready full-stack Python work.

FlaskOpenCVPILfile uploadnumpy ROI
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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.