Image Upload / Download & Management Web App ---- ImageIQ AI

ImageIQ is an web application for image processing and analysis. It allows users to upload images, apply transformations, and extract meaningful insights efficiently.

Screenshots

Live Demo: Click here to view live

Features

• User Authentication: Secure signup and login system
• Image Upload: Users can upload images with a title and additional info
• Search & Query: Other users can search images based on title, tags, or info
• Image Download: Users can download images shared by others according to their needs
• Real-Time Updates: Instant availability of uploaded images for search and download
• User-Friendly Interface: Clean, responsive UI for easy navigation and interaction
• Metadata Management: Titles and info help organize and query images efficiently

Tech Stack

• Backend: Python 3.x, Django 5.2.8
• Frontend: HTML, CSS, JavaScript
• Database: SQLite (default)
• Environment & Config: python-dotenv for environment variables, tzdata for timezone management
• Dependencies:
  • asgiref==3.11.0 (ASGI support for Django)
  • pillow==12.0.0 (image handling)
  • sqlparse==0.5.3 (SQL parsing for Django)
  • python-dotenv==1.2.1 (load environment variables)
• Deployment: PythonAnywhere

Note: No OpenCV or heavy AI libraries are used; the project relies on Django and Pillow for image handling.

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Installation

1. Clone the repository:

git clone https://github.com/yourusername/ImageIQ.git
cd ImageIQ

Create and activate virtual environment:

• python -m venv env
• source env/bin/activate # Linux/Mac
• env\Scripts\activate # Windows

Install dependencies:

• pip install -r requirements.txt

Run migrations:

• python manage.py migrate

Open in browser: http://127.0.0.1:8000/

Usage:

• Sign up or login

• Upload images for processing

• View processed results in real-time

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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2️⃣ Save & Zip

1. Open a text editor and paste the above into a file named README.md.
2. Save it in your project folder (ImageIQ).
3. On Windows: Right-click the folder → Send to → Compressed (zipped) folder
   On Linux/Mac:

zip -r ImageIQ.zip ImageIQ/

👤 Author

• Developer: Md Jahid Hasan
• Email: jahidhasanpiyesh@gmail.com
• LinkedIn: https://www.linkedin.com/in/md-jahid-hasan-9418b9298
• Portfolio: https://jahidhasanpiyesh.github.io/