Featured project

CrewBoard / CrewBoard AI

Independent build · Product owner and builder

Live / Working

Standalone Windows workflow application that automates extraction and restructuring of fixed-format PDF crew boards for operations scheduling.

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Purpose

CrewBoard / CrewBoard AI removes repetitive manual re-entry from fixed-format crew-board PDFs and turns a slow, error-prone scheduler workflow into a compact desktop tool.

Highlights

Built with Python, FastAPI and pdfplumber
Automatic PDF text extraction with user-controlled orientation and views
Reduced a recurring multi-hour manual process to minutes

Capabilities

Standalone Windows executable workflow
Automatic PDF text extraction and restructuring
User-controlled orientation handling
Expand and collapse workflow views
One-click workflow intended to minimize user training burden

Architecture & Delivery

Python application layer
FastAPI service logic
pdfplumber-driven PDF extraction
Desktop-oriented operational UX

Outcomes

Reduced a recurring multi-hour process to minutes
Removed manual transcription burden from a repeated operational workflow

Skills Demonstrated

User discovery
Rapid prototyping
Desktop packaging
PDF extraction
Workflow automation
Operational UX
Value-focused product decisions