CSC 150 Team Project
Show AI-generated art with process transparency.
Prompt to Pixel is a process-first AI art gallery that presents the original prompt, multiple iterations, the final output, and commentary behind each piece. It is designed for students, creatives, and anyone interested in how AI-assisted visuals evolve through prompt engineering and revision.
Original prompts, iterations, and final outputs
Team roles span management, prompting, generation, and site design
About The Concept
From a basic AI gallery idea to a process-focused portfolio
The project began as a more traditional AI art gallery concept and was refined into a website centered on transparency, iteration, and reasoning. The result is a cleaner showcase that makes the creative path as visible as the final image.
The current copy is intentionally polished but still editable. Replace it with your team’s final language once the project direction, visual identity, and evidence set are finalized.
Project concept
The team is building an AI art gallery with process transparency. Each case study is meant to display the original prompt, multiple iterations, the final output, and commentary explaining why specific changes were made.
This website frames AI-assisted design as a sequence of decisions. Each case study is built to show how a concept was defined, tested, revised, compared across tools, and ultimately resolved into a chosen visual direction. The emphasis is on iterative thinking, not on pretending that the first output was the final answer.
The site is intended for students, creatives, and curious viewers who want to understand how AI-generated work develops through prompt engineering, tool testing, and revision.
Use this block to explain your team’s theme, why AI was part of the workflow, and what kind of visual or design questions the project set out to explore.
Brand direction
The visual direction stays clean, cohesive, and modern, using a dark palette and restrained layout so attention remains on the artwork, revisions, and documented process.
Team structure
Project management, prompt engineering, image generation, and site design are handled as distinct responsibilities, giving the project both creative coverage and a clear production workflow.
Process visibility
Rather than hiding the rough work, the site foregrounds prompt revisions, version tracking, and tool comparison so viewers can see how results evolved over time.
Gallery Overview
Featured case studies prepared for final content
Each card represents one project track. Thumbnails, tags, version ranges, and summary copy are generated from a centralized JavaScript content model.
Detailed Case Study Viewer
Inspect one iteration sequence at a time
Select a case study below to swap the detailed view. This section is data-driven so you can add, remove, or rewrite case studies inside the JavaScript file.
Interactive Process Features
Make the evolution visible through direct interaction
These modules are fully functional now using placeholder assets and can be updated later with final images, prompt screenshots, and refined explanatory notes.
Feature A
Iteration slider
Move through sequential versions to compare how the concept changes from early exploration to a more resolved direction.
Version focus
Feature B
Style switcher
Compare different visual interpretations of the same creative brief to show how wording, style references, and tool strategy influence the result.
Variation title
Meta Analysis
Cross-project observations grounded in the team's proposed direction
These cards translate the proposal into broader takeaways about transparency, iteration, tool choice, and the role of human judgment inside an AI-assisted creative workflow.
Process Documentation Support
Reinforce the evidence that will also appear in your separate process document
This section mirrors the initial proposal by surfacing workflow stages, planned tools, team roles, iteration structure, and clear spaces for screenshots or comparison evidence.
Workflow stages
Use these cards to explain how the team moved from idea framing to final curation.
Tools used
Document which AI systems were tested and why each one fit a specific task.
Process evidence
Drop in prompt screenshots, workflow captures, proposal evidence, or comparison boards when they are ready.
Team contributions
Summarize who handled project management, prompting, image generation, programming, design, and review.
Reflection Support
Structured prompts for the final team reflection
These cards now reflect the team's proposal and workflow plan. Expand them into the final reflection after the case studies, outputs, and lessons learned are complete.