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The first computer 'bug' was a real moth trapped in an electronic relay of the Harvard Mark II computer in 1947. Engineers taped it into the logbook with a notation.

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Elite Class Release

AuraScan

Mobile-first document scanner and structure-aware JSON parser.

Lead Developer
Aria Sharma & Team Vision AI
Sprint Coursework
Smart Scanning Solution
Development Cycle
5 Weeks

Audited Performance

45 FPS
Edge FPS
99.1%
Parsing Success
80%
Storage Savings
AuraScan Interface Sandbox Preview
AI PoweredInnovationComputer Vision

The Challenge

Field agents and dynamic physical operators waste substantial back-office time manually entering data from physical notes, delivery sheets, and invoices.

The Solution Blueprint

Developed a local WebAssembly-powered scanning engine that triggers auto-alignment, removes lighting glare, and parses text patterns dynamically at the edge.

Student Architecture Notes

AuraScan represents the next generation of mobile document capturing. Going far beyond standard PDFs, AuraScan runs high-accuracy computer vision on edge devices to locate, crop, and transform unstructured paper documents into fully typed, validated JSON structures in milliseconds.

Engineered Tech Stack

TypeScriptWebAssemblyOpenCV.jsZod ParsingTailwind CSS

Core Framework Features

Local Edge OCR

Extracts tabular and text data on low-connectivity devices without backend servers.

Auto-Perspective Warp

Instantly flattens angled photos for consistent presentation.

Schema Generator

Generates formatted Excel or JSON tables directly from scanned ledger sheets.

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