SMILED (Smart Machine for Identifying Lesions with Efficient and Accurate Detection) is a cutting-edge software solution created to change dental imaging by tackling significant issues faced by dental professionals. A number of issues, including an overwhelming workload, a lack of experienced doctors, a lack of time for radiographic interpretation, human error in diagnosis, and the time and expense involved in reporting radiographs, were factors in the development of SMILED. SMILED uses cutting-edge image processing methods, machine learning algorithms, and hybrid U-Net structures to tackle these difficulties. The primary objective of SMILED is to accurately segment radiolucent lesions in dental radiographs. It utilizes Cone Beam Computed Tomography (CBCT) images, which present challenges due to diverse lesion topologies, complex medical structures, and poor image quality. To address these challenges, SMILED incorporates hybrid U-Net architectures specifically designed for lesion segmentation, enhancing the accuracy and efficiency of the process. SMILED also focuses on privacy concerns by implementing differential privacy during model implementation. This ensures that sensitive medical data remains protected, providing robust privacy guarantees. To further improve performance, SMILED integrates supervised, semi-supervised, and reinforcement learning methods aligned with MLOps frameworks. This enables continuous model improvement through efficient data management, reproducibility, and automated deployment. Practitioners can use SMILED through a user-friendly interface, allowing them to upload CBCT and Segmentation images for model training. The software includes a validation module for result verification and a visualization interface to enhance interpretability. By streamlining workflow and harnessing automation, SMILED improves the effectiveness and accuracy of dental diagnosis and treatment planning. SMILED's strengths extend beyond its technical capabilities. The software's worldwide applicability is its most valuable strength, as the challenges it addresses are not limited to a specific region. The excessive workload, shortage of experienced doctors, and time constraints on radiographic interpretation are universal concerns. SMILED can alleviate these issues and provide valuable support to dental professionals globally. Additionally, SMILED offers diagnosis and treatment planning for foreign patients before they arrive, which can boost health tourism, particularly in the dental field. This feature underscores the software's relevance and potential impact on a global scale, facilitating international patient care and enhancing dental healthcare services worldwide. In conclusion, SMILED is a cutting-edge software solution that addresses the difficulties in dental radiology. Dental radiographs can be accurately segmented using SMILED, which enhances the diagnosis and therapeutic procedures. Comprehensive and effective lesion segmentation is ensured by the combination of cutting-edge approaches, hybrid U-Net topologies, privacy considerations, and MLOps methodologies. With its potential to increase health tourism and its versatility to be used anywhere in the world, SMILED has the potential to change dental care and enhance patient outcomes on a global scale.