Automated Engine Design using Machine Learning

Abstract

Abstract: Machine Learning has been widely used in solving complex problems across various fields for the past decade, and computers have become more powerful than ever before. Mechanical engineers have a responsibility to use these groundbreaking discoveries to improve existing instruments and methodologies for better efficiency in production. Technologies like Machine Learning, Deep Learning, and Computer Vision can automate complex design procedures and can be integrated with existing technologies to create the building blocks for the 5th industrial revolution. Computerized programs can be helpful in situations where resources like time and skilled labor are scarce. The project aims to use Machine Learning and other Python-based frameworks to develop an interactive interface for designing complex models, specifically a combustion engine.