This paper focuses on characterizing the root with artificial intelligence and machine learning tools and employing vetiver root reinforcement to fortify soil. The Gramineous perennial grass known as vetiver grass is indigenous to tropical and subtropical regions of India, China, the Philippines, and Indonesia. The most noticeable feature of the species is the growth of 0.5–1.5 m tall stiff culms in enormous clumps from a highly branching rootstock. The study investigates how vetiver roots affect soil stability. The effect of vetiver roots on soil characteristics is investigated in the study using laboratory shear box test trials. The paper also compares vetiver roots with other roots using machine learning to comprehend the mechanical and physical characteristics of the root. The study’s findings highlight the value of integrating AIML methods in the assessment of plant roots and point to the possibility of Vetiver root-reinforcement as a successful and long-lasting bio-geotechnical solution for soil stabilization. Results show enhancement in various properties of soil and increase in the strength characteristics by enhancing shear strength by 5%. The results offer valuable information for researchers and engineers interested in using bio-geotechnical methods for sustainable soil strengthening.