Automated Four-Bar Linkage Design using Neural Networks
2026- Developed a machine learning pipeline in Python to predict four-bar linkage dimensions from user-drawn coupler paths.
- Built an image-processing workflow using OpenCV to convert hand-drawn paths into neural-network readable trajectory data.
- Generated synthetic training datasets through forward kinematics of random valid linkage parameters for supervised learning.