🚀 Final Project: Automated Generative Asset Pipeline & Hyper-Specialized AI Venture Pitch
The Vision: You will package your work from Assignments 1–3 into a unified, push-button generative software pipeline or custom application plugin (incorporating local UI or Unity control interfaces), and pitch it as a viable, zero-marginal-cost replacement for a traditional physical product design agency.
Key Requirements:
The Automated Software Tool: Integrate your DeepSeek logic, ComfyUI/FLUX engine, and TRELLIS 2/Hunyuan3D pipeline into a single user interface, Unity dashboard, or automated batch script. A user should type a product concept, and your system handles the rest.
The Physical Prototype Build: Produce a final, beautifully finished, high-quality 3D print of your generated object. It must prove structural integrity, aesthetic appeal, and actual functional viability.
The Agency Pitch Deck: You must deliver a professional business presentation pitching your software tool as an industry alternative. Your pitch must include:
Cost-Benefit Analysis: Compare human agency timelines (weeks, thousands of dollars in labor) vs. your open-source AI local pipeline (minutes, zero marginal cost per asset after paying for electricity/GPU overhead).
IP Sovereignty: Emphasize why using open-source models keeps sensitive corporate design data completely local and safe from external data leaks.
Live Demo: Run your pipeline live in front of the class, showing an asset going from prompt to a printable model in real-time.
Grading Check Point and Rubric:
Objective: Bundle the entire system into a unified application pipeline and deliver a commercial venture pitch.
[ ] 1. End-to-End Pipeline Integration: Merge the steps from Assignments 1–3 into a unified script or execution macro where a text prompt flows into a printable 3D mesh with minimal manual step interventions.
[ ] 2. UI or Single-Terminal Control: Create a clean, user-friendly execution layer (a custom terminal script, Gradio web interface, or Unity control dashboard) manageable by a non-technical designer.
[ ] 3. Production-Grade Final Print: Fabricate a finalized, high-quality 3D print of your system's output showing professional-grade structural integrity and fine surface detail.
[ ] 4. Professional Post-Processing: Showcase a post-processed physical object (cleaned, sanded, treated, or assembled) that looks ready for a retail shelf or consumer field-testing.
[ ] 5. Financial and Labor Comparison Ledger: Present a rigorous cost-benefit spreadsheet comparing traditional boutique agency metrics (labor hours, design overhead, production time) against your open-source pipeline metrics.
[ ] 6. Data Sovereignty & IP Verification: Include a local-hosting security audit proving that all sensitive corporate design assets are generated completely locally without exposing corporate data to third-party APIs.
[ ] 7. Venture Presentation Deck: Deliver an industry-standard venture capital pitch deck addressing market pain points, pipeline scalability, unit economics, and target agency disruption.
[ ] 8. Technical Architecture Blueprint: Document the system's entire data flow with a clear block diagram detailing model interfaces, API nodes, and optimization scripts.
[ ] 9. Live Execution Demonstration: Successfully run a live text-to-manifold-mesh demonstration in front of the class within a strictly timed window, proving the stability of the stack.
[ ] 10. Formal Defended Q&A: Successfully defend the pipeline architecture, software scaling options, and mechanical choice selections against critical panels or peer design review.
To build a fully automated, open-source design pipeline, you can arrange logic and python automation scripts using text engines like DeepSeek, Meta Llama, and Alibaba Qwen, generate crisp 2D product turnarounds via Black Forest Labs FLUX.1 or Stable Diffusion, and directly convert those visual concepts into printable physical geometries using 3D mesh extractors like Tencent Hunyuan3D and Microsoft TRELLIS.
© You-Jin Kim
    Nebraska–Lincoln 🌽