Dan Wang - 3D Modeler | Contra
Work by Dan Wang
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Dan Wang
Python automation, data cleanup & interactive web demos
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China
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Procedural Storage Container: Blender Asset and Validation An original, AI-assisted Blender demonstration of a generic transparent storage tube with a solid lid and simplified internal tools. Python scripts generate the asset and check its nominal 72 x 72 x 148 mm dimensions, centered origin, parent hierarchy, material nodes and external dependencies after reopening the saved file. The deliverable includes a mesh-only .blend file and a CPU-rendered preview. Personal technical sample; it does not claim manufacturing accuracy, buyer-specific styling or verified BlenderProc compatibility.
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Event-to-Spreadsheet Automation with Explicit Failure Handling An AI-assisted Node.js demonstration of reliable event processing: validate inputs and structured responses, limit retries, coalesce concurrent duplicates, and stop when a write outcome is uncertain. Thirteen offline scenarios passed, including three duplicate requests producing one simulated call and one stored row. The package includes runnable source, scenario results and an explanatory report. Both external services are simulated; live API authentication, durable storage and deployment are outside this demonstration. Original personal work, not a client integration.
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Product Catalog Cleanup with a Review Queue An original, AI-assisted Python demonstration that cleans a synthetic product catalog while preserving ambiguous data for review. It standardizes explicitly stated dimensions, retains product variants, and flags missing specifications or conflicting currencies rather than guessing. The fixture contains 32 records: 30 retained, two exact duplicates removed and 16 requiring review. Nineteen checks passed. Outputs include cleaned JSON, exceptions, an audit trail and a comparison report. Personal demonstration work, not a customer catalog or a verified marketplace import.
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Peach Isle: A Responsive Companion Chat Interface An original, AI-assisted front-end demonstration with daytime chat and night-letter modes. The self-contained interface includes responsive desktop and mobile layouts, original SVG artwork, saved moments, prompt suggestions and keyboard-friendly controls. Sixteen local checks covered layouts, interactions, reduced motion and JavaScript errors. Personal UI prototype using preset responses; not a live AI service or a client project. Built with HTML, CSS and JavaScript.
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Challenges
Lovable Challenge
Rive Halloween Challenge
The invideo Editor Challenge
Challenges
Lovable Challenge
Rive Halloween Challenge
The invideo Editor Challenge