Projects

Academic

AI-Powered Industrial Monitoring (TÜBİTAK 3501)

An end-to-end OCR & NLP based monitoring system analyzing production-line inefficiencies. Part of my M.Sc. thesis and a TÜBİTAK 3501 project proposal.

Academic · OCR + NLP · ongoing

PythonOpenCVTrOCRTesseractBERTPandas

Problem

On industrial production lines, downtime reasons were recorded on handwritten forms and entered as free text; the data could not be analyzed and root-cause analysis was impossible.

Solution

As a research engineer at Sakarya University, I am building an AI-based monitoring system that digitizes handwritten production forms and standardizes operator inputs.

Highlights

  • Image-processing pipelines with Python + OpenCV
  • A hybrid OCR architecture combining TrOCR and Tesseract
  • BERT-based NLP models standardizing free-text downtime reasons
  • Automated data cleaning/validation pipelines with Pandas
  • Contribution to a decision-support system for production analytics