task7-image-resizer

🖼️ A Python-based image resizer tool that automates resizing and format conversion of multiple images in batch using the Pillow library.

🖼️ Task 7 – Python Image Resizer Tool (Internship Project)

🔧 A simple, powerful batch image resizer and converter tool built using Python and the Pillow library. Automates the process of resizing multiple images to a fixed size (800x800) and converting them to .jpg format in just one click.

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🚀 Objective

To develop a Python script that automates the batch resizing and format conversion of images present inside a folder, and saves the resized images to another folder — all using a clean, maintainable codebase.

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✅ Features

• 🔁 Batch processing of images in any format (.jpg, .png, .jpeg, .bmp, .gif)
• 📐 Automatically resizes all images to 800x800 pixels
• 💾 Saves resized images in clean .jpg format
• 📂 Neatly separates input and output
• 📸 Includes screenshots for clear proof of execution and structure
• 💻 Fully explained code for beginner understanding
• ✨ Clean folder structure and code formatting

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📂 Project Structure

task7-image-resizer/ ├── src/ │ └── image_resizer.py # 🔹 Main Python script with full comments │ ├── screenshots/ # 🔹 Contains all 5 proof subfolders │ ├── input_images_before_resize/ │ ├── output_images_after_resize/ │ ├── terminal_run/ │ ├── vs_code_preview/ │ └── before_after_comparison/ ├── README.md # 📘 You’re reading it!

Each subfolder inside screenshots/ also includes a description.txt to explain the proof.

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🛠️ Tools & Technologies Used

Tool	Purpose
Python 3.x	Programming Language
Pillow (PIL)	Image processing and resizing
VS Code	Code editor
OS Module	Folder and file handling

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▶️ How to Run the Project

💡 You only need Python installed. No complex setup.

1. 📦 Install Required Library

pip install Pillow
2. 📂 Add Your Images
Put your images inside the folder:
input_images/
3. ▶️ Run the Script
bash
python src/image_resizer.py
✅ Your resized images will be saved in the folder:
output_images/


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📸 Screenshots (Proof of Work)
| Folder                           | Description                            |
| -------------------------------- | -------------------------------------- |
| 📁 `input_images_before_resize/` | Shows original images before resizing  |
| 📁 `output_images_after_resize/` | Shows resized images after script runs |
| 📁 `terminal_run/`               | Terminal output with successful logs   |
| 📁 `vs_code_preview/`            | Python script open in VS Code          |
| 📁 `before_after_comparison/`    | Side-by-side input/output comparison   |
All folders include description.txt to explain the screenshots in detail.

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🎯 Outcome & Learning
✅ Automated repetitive task using Python

✅ Used third-party library (Pillow) effectively

✅ Practiced file/folder handling and clean code

✅ Understood image processing and format conversion

✅ Documented everything professionally

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💼 Internship-Level Standards
This project is built with the goal of being a top performer in a 200-member internship. It includes proof, automation, clear code, and structured documentation that meets the expectations of a production-ready mini tool.


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🙌 Author
👤 Rohith K N
Python Developer Intern..


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📝 License
This project is free to use for educational and internship purposes

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