Vitamin deficiencies are a pressing global concern, affecting over 1 billion individuals worldwide, with rural and remote areas being particularly vulnerable due to inadequate healthcare infrastructure. vitamins, though required in minute quantities, play a crucial role in maintaining physiological functions, and their deficiencies can result in severe, often undiagnosed health consequences. current methods for assessing vitamin levels, such as liquid chromatography, radio-immunoassays, and chemiluminescence immunoassays, are costly, time-consuming, and demand specialized laboratory setups, making them inaccessible to many. this work addresses the pressing need for a simple, cost-effective, and point-of-care diagnostic tool to monitor vitamin levels. inspired by the success of paper-based microfluidic devices, such as pregnancy kits, the research focuses on developing a rapid diagnostic test (rdt) for vitamin quantification. by leveraging nanotechnology to enhance sensitivity and incorporating artificial intelligence (ai) for data analysis and storage via smartphone applications, this device aims to provide a user-friendly solution for both rural and urban populations. unlike conventional rdts that only provide binary outcomes, this innovative device aims to enable precise quantification of vitamin levels, bridging a critical gap in current diagnostics.