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I developed an AI-assisted document-intelligence workflow for transportation-agency teams working with large collections of reports, standards, studies, scanned documents, and project records.
The system combined document extraction, OCR, structured metadata, semantic retrieval, knowledge relationships, and grounded LLM responses. Analysts could ask questions in natural language, review the supporting evidence, inspect source citations, and approve, revise, or reject generated findings.
The workflow was designed around human review, access controls, traceability, and safe failure rather than treating an LLM response as an unquestionable answer. Related work reduced decision time by approximately 60% and improved data accuracy by approximately 35%.
The displayed architecture and interface are sanitized representations and contain no client documents, production data, proprietary prompts, or confidential system details.
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My final portfolio project, Apple Fluid. A UI/UX study into the relationship between Mac, iPad, and iPhone. Researching features within Apple's ecosystem alongside user behavior.
This video showcases two features within Fluid. Updated AirDrop for additional control. And a new Continuity feature, Assist. Turning your iPad into a traditional drawing tablet.
View the complete project & study on my website (https://www.ianwiant.com/apple)
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