This involves analyzing the different design solutions and creating a recommendation system that assists in selecting optimal designs based on user-defined criteria. The goal is to minimize the weight, elastic resistance, and reliability of the solutions. This project not only aims to enhance board performance but also to provide insights into AI-driven design strategies.

We are seeking students interested in advancing existing knowledge in AI-assisted simulation and optimization. Participants in this project will gain hands-on experience with AI tools, data handling, simulation techniques, and the optimization process.

This opportunity offers a deep dive into cutting-edge design optimization techniques, and the skills acquired will significantly enhance both academic and professional career prospects.