Document Processing for NGO Operations
Key Results
Overview
Automated website parsing and AI-based content filtering for an NGO archive, reducing document processing time from 3 days to 15 minutes per batch.
The Challenge
RIMA/Kronika needed to process large volumes of web-published documents for humanitarian and archival use.
Manual extraction, filtering, and classification of relevant content was time-consuming, error-prone, and did not scale with increasing data volumes.
The Solution
A custom Python-based pipeline was built to automatically parse target websites and apply AI-driven filtering to identify relevant documents.
The system structured extracted data into a clean, usable format, enabling rapid review and downstream archival without manual intervention.
Technologies Used
"Working with Kuda was a great experience. He handled a data parsing project for our archive with clarity and professionalism that are rare to find. What stood out most was his communication—always transparent, timely, and easy to follow. He was quick to address questions and consistent in delivering on expectations. I'd be happy to work with him again on future projects."
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