Engineering case study
AI Art Gallery
A gallery with an intelligent creative toolkit.
A Django art platform that combines AI chat, image generation and editing, background removal, artist classification, and price estimation.
The problem
Creative exploration involves discovery, conversation, and image manipulation. This project brings those interactions together in a gallery-oriented web experience with AI-powered tools.
Project context
Creative tools / Applied AI
Implementation scope
- AI chatbot, image generation, and image editing through the platform.
- Background removal and a PyTorch artist-classification model.
- Price estimation and deployment on PythonAnywhere.
Project showcase
AI-generated project illustration, not an application screenshot. Any displayed metrics are illustrative.
System architecture
- 01Explore art
- 02Ask assistant
- 03Generate
- 04Edit
- 05Analyze
Gallery application
Django / Python
Web application layer connecting gallery interactions with the creative tools.
Generative assistant
OpenAI API
AI chat alongside the documented image-generation and editing capabilities.
Image intelligence
PyTorch / Image processing
Artist classification and background-removal capabilities listed in the CV.
Estimation & hosting
Price estimation / PythonAnywhere
An estimated-price feature and a deployed web application, without a claimed valuation accuracy.
Engineering considerations
01Separate creative output from analysis.
Generating an image, removing a background, and classifying an artist solve different problems. Distinct inputs and results make these tools easier to understand.
02Present estimates as estimates.
An artist classification or price estimate is model output, not authenticated attribution or a professional appraisal. The interface should make that distinction clear.
03Consider image ownership and privacy.
Uploaded artwork and generated images introduce consent, rights, and storage questions. These are important considerations for a creative AI platform.
Technical focus
- Combining a Django application with generative and analytical AI.
- Supporting multiple image workflows in a gallery experience.
- Taking a Python web project through deployment.
Possible extensions
Possible extensions include before/after editing comparisons, model-evaluation documentation, and clearer handling of image rights. No prediction accuracy or valuation guarantee is claimed.