Virtual try-on systems using augmented reality (AR) have garnered significant attention in recent years for their potential to revolutionize the fashion industry. Augmented reality is a technology that superimposes digital information, such as images, videos, or 3D models, onto the real-world environment, enhancing or augmenting the user's perception of reality. Unlike virtual reality (VR), which creates entirely immersive digital environments, AR overlays virtual content onto the physical world, allowing users to interact with both the real and virtual elements simultaneously. AR combines computer vision, image processing, and graphics rendering techniques to overlay digital content onto the real-world environment in real-time. By leveraging these techniques, AR systems enable users to virtually try on products in real-time, enhancing the shopping experience and reducing the need for physical try-ons. Despite obstacles such as precise mapping of the 3D model onto the user's body and high development techniques to accurately represent the product throughout the real-time feed, AR virtual try-on systems offer numerous benefits, including time savings, improved customer satisfaction, and enhanced online sales conversions. By implementing an AR solution that not only aims to fit 3D products onto the user but also enhances previously implemented studies by applying it to the real-time environment, our study focuses on achieving high accuracy results through extensive deep learning techniques and aims to reduce customer challenges for an improved shopping experience. Virtual try-on systems with AR hold promises beyond the fashion industry, with potential applications in cosmetics, eyewear, and home design.