Based on the database in our biomaterial initiative integrated platform from the studies of structural biological material and the multiscale analysis and simulations, this technique can generate multi-purpose composite designs of bio-inspired microstructure for different demands, including high-toughness, high strength, and lightweight designs, and offers various the choices of materials, which contains great potential for engineering applications.This technique integrates bio-inspired materials and artificial intelligence into new frameworks of composite material design based on the machine learning models trained on the dataset from multiscale simulations. The material design system, distinguished from the traditional and rigid design thinking, introduced with AI can generate bio-inspired structural material designs efficiently and abundantly, following the spirit of data science to materialize the characteristics of bio-materials in the designs.This technique integrates bio-inspired materials science and artificial intelligence into predictive systems, design systems, and application systems of composite material properties. The material genome database used in those systems can be further transferred to the base of new composite designs in the future, which could make breakthroughs in the development of the engineering materials nowadays and improve the competitiveness of the relative industries of Taiwan. This technique has been implemented into several industrial application in Taiwan, including 3D printing footwear design, manufacture of drones. Besides, the same framework can be transferred into other industries that rely on the user-demands, for instance, medical aids, which can create huge amount of practical value.