Urinary tract infections (UTIs) pose a significant public health concern globally, with a notable impact on the Filipino population, ranking as the 3rd most common cause of morbidity in the Philippines. Despite advancements in healthcare, Philippine’s healthcare system is still institution-centered, limiting patients’ access to healthcare. Additionally, lack of awareness regarding the consequences of untreated UTIs, especially among lower to middle socioeconomic classes, has led to self- administered remedies and drugs, including herbal alternatives, without proper prescription. This study aimed to develop an IoT-based preliminary diagnostic kit that offers efficient urine reagent strip analysis to identify the levels of leukocytes, nitrite, pH level, sugar level, protein, and specific gravity. Proponents used an experimental approach to determine the model’s accuracy and it was then supplemented by the authorization of M.V. Santiago Medical Center’s test results. The results indicated a 94% accuracy in identifying color changes in urine test strips and interpreting data. Moreover, the prototype received positive feedback from 14 BSMT students and 4 RMTs, with agreeable ratings for the prototype and mobile application’s appearance and display (3.23) and strong agreement regarding its operation (3.28), affirming its usability and potential to streamline diagnostic processes. Thes findings not only show the successful development of a preliminary diagnostic kit for UTI but also highlight the transformative potential of technology-driven healthcare innovation.