Spider web, one of nature’s most remarkable structure renowned for its remarkable strength, elasticity, and lightness, making it one of the most intriguing structure in nature. In this work, we investigate the modal analysis and static structural analysis of a bio-inspired spider web, focusing on understanding the effects of point load and natural frequency on the web’s behavior. To achieve this, we design spider web structures using four different materials silk, nylon, steel, and aluminum. These materials are chosen for their diverse mechanical properties, allowing us to explore how variations in material affect the web’s performance. By utilizing Fusion 360 for design and Ansys Workbench for analysis, we aim to gain insights into the structural behavior of spider webs made from these materials. Additionally, we employ machine learning as a prediction tool to predict the total deformation of each material in the design of spider webs for practical use. This work not only advances our understanding of bio-inspired design but also has the potential to impact various engineering fields by offering innovative solutions derived from nature’s own designs.