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[GSoC 2025] Interest and Questions about the Flexible GovDoc Scanner Project

Hello,

I’m Eftihis Drakakis, a third-year undergrad at the Department of
Informatics and Telecommunications at the National and Kapodistrian
University of Athens. I’m really excited about the possibility of
contributing to the Flex GovDoc Scanner project for Google Summer of Code
and wanted to clarify a few things before finalizing my proposal.

I have a solid background in AI, Web Development, and Databases, thanks to
both coursework and hands-on projects:

JavaScript & Web Development:
Worked with JavaScript and TypeScript on front-end tasks for
etherioparos.com, using Git for version control.
Currently diving deeper into Node.js, cloud-based crawling, and OCR, which
are directly relevant to this project.

Databases:
Gained experience with SQL through courses in Design and Use of Database
Systems and Implementation of Database Management Systems.

AI:
Implemented state-space search algorithms, reinforcement learning, and
probabilistic models in AI1 (Berkeley CS188 - The Pac-Man Projects).
Built a sentiment classifier for a Twitter dataset using logistic
regression and TF-IDF, covering data analysis, preprocessing, and feature
extraction.
Upcoming projects include working on deep neural networks, bidirectional
stacked RNNs, and fine-tuning GreekBERT (Hugging Face).

A Few Questions:
OpenSource DB:
After researching, I’m leaning towards Elasticsearch for this project. I
think it aligns well with the requirements and expected outcomes. Do you
think it’s the right choice, or are there other options I should consider?

AI Application:
How exactly will AI be used to extract metadata from scanned documents?

Project Scope:
Given the project requirements and expected outcome, how difficult would
this be considered under GSoC?

I’m really excited about the opportunity to contribute, and I look forward
to hearing your thoughts.

Best regards,
Eftihis Drakakis
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