Employed openCV and Google OCR API to accurately extract relevant information from Engineering drawings, demonstrating proficiency in image processing and optical character recognition techniques

Built a NLP model using sklearn, enabling efficient extraction of relevant information from the data. The extracted information was then seamlessly exported to CSV format for further analysis and utilization

Achieved a time savings of 6 hours per engineer per HAZOP by automating the information extraction process