Emmanuel-techstack

A curated collection of my IT Automation works.

Python project 1: Image Processing Automation

📌 Overview

This project solves a real-world image processing challenge using Python and the Pillow library.

The scenario:
A company preparing for a website relaunch received a batch of icon graphics from a design contractor. Unfortunately:

• The images were in the wrong format
• They were rotated 90°
• They were too large for web use

With the contractor unavailable and a tight deadline looming, a quick automated solution was needed.

This script automates the entire process—turning hours of manual work into a matter of seconds.

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Features

• Batch Processing: Iterates through all images in the input folder
• Rotation Fix: Rotates each image to the correct orientation
• Resizing: Scales images to the required web dimensions
• Format Conversion: Converts files (e.g., .tiff → .jpeg)
• Organized Output: Saves processed images in a separate directory

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🛠 Tech Stack

• Language: Python 3.x
• Library: Pillow (PIL Fork)

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📂 Project Structure

Emmanuel-techstack/
├── image-processing-automation/
│   ├── image_process_script.py
│   ├── image_process.py
│   ├── images/
│   │   ├── .DS_Store
│   │   ├── ic_add_location_black_48dp
│   │   ├── ic_add_location_white_48dp
│   │   ├── ic_beenhere_black_48dp
│   │   ├── ic_beenhere_white_48dp
│   │   ├── ic_directions_bike_black_48dp
│   │   ├── ic_directions_bike_white_48dp
│   │   ├── ic_directions_black_48dp
│   │   ├── ic_directions_boat_black_48dp
│   │   ├── ic_directions_boat_white_48dp
│   │   ├── ic_directions_bus_black_48dp
│   │   ├── ic_directions_bus_white_48dp
│   │   ├── ... (all other original images)
│   │   └── ic_near_me_black_48dp
│   ├── images.zip
│   ├── problem_statement.md
│   └── processed_images/
│       ├── ic_add_location_black_48dp.jpeg
│       ├── ic_add_location_white_48dp.jpeg
│       ├── ic_beenhere_black_48dp.jpeg
│       ├── ic_beenhere_white_48dp.jpeg
│       ├── ic_directions_bike_black_48dp.jpeg
│       ├── ic_directions_bike_white_48dp.jpeg
│       ├── ... (all other processed images)
│       └── ic_near_me_black_48dp.jpeg
├── README.md

🔄 How It Works

1. Scan Input Folder – The script reads all image files inside images/.
2. Rotate – Corrects orientation by rotating each image to its proper position.
3. Resize – Adjusts images to the required dimensions for web optimization.
4. Convert Format – Changes image format (e.g., .tiff → .jpeg) for compatibility.
5. Save Output – Stores processed images into processed_images/ with the correct naming and format.

💡 Use Cases

• Preparing images for websites or mobile apps
• Automating repetitive image formatting tasks in forensics, image editing devopsamong others.
• Bulk image correction for digital marketing or CMS uploads.