Personal / Open Work / 2025 / synthetic case study

Automated Document Processing

OCR and AI-assisted document routing for IFEST Hackathon

Hackathon application that extracted text from documents, routed them to relevant company departments, and generated response templates.

  • Tesseract OCR
  • Azure AI
  • Backend API

Open study / visual fallback

Category
Personal / Open Work
Year
2025
Role
OCR and backend/API contributor
Status
Completed

01 / Frame

Context

Developed during IFEST Hackathon as an early team experience building an application under a limited competition timeline.

02 / Pressure

Problem

Incoming PDFs, documents, and images require text extraction and structured routing before a company can respond efficiently.

04 / Response

Solution

The application used an OCR pipeline for text extraction and an Azure AI-backed API for document processing, department routing, and response-template generation.

07 / Friction

Challenges

  • The original scope was too large for the available hackathon time.
  • Task ownership and blocker communication needed to be clearer across the team.

08 / Result

Outcomes

IFEST Hackathon Finalist

The project team reached the finalist stage in September 2025.

10 / Carry forward

Lessons

  • Define ownership and communicate blockers early in short build cycles.
  • Reduce scope to a product the team can execute well within the available time.