Traditional intelligence assessments inadequately capture the full spectrum of cognitive competencies, as they predominantly emphasize verbal and logical reasoning while neglecting critical dimensions such as creativity, emotional intelligence, and social interaction. Moreover, these traditional tools often exhibit cultural bias, limiting their applicability among non-English-speaking populations. This study employs a quantitative research design to investigate the Buddhimotta app, which was developed by researchers and is available on the Google Play Store. This gamified tool is designed to assess Multiple Intelligences (MI) among university students in Bangladesh. Data were collected from 233 respondents using the Buddhimotta app, which was validated through expert consultation and served as the primary instrument for data collection. The study examines the distribution of MI scores across the eight intelligence areas, intercorrelations between them, and the effect of demographic variables such as gender and age on MI profiles. The findings of this research identified two main patterns: interpersonal intelligence, being the most dominant among the participants, and musical-rhythmic intelligence, being the least demonstrated. Differences in performance between males and females were also observed in the MI domains assessed. Males showed particularly strong abilities in logical-mathematical, visual-spatial, and interpersonal intelligences, while females showed strength in performing well in naturalistic, verbal-linguistic, bodily-kinesthetic, and musical-rhythmic intelligences. The findings of this research reinforce the role of culturally and linguistically modified MI assessment tools to facilitate personalized learning. The Buddhimotta app is also salient in a Bangladeshi context because there is a pressing demand for locally mediated educational pedagogical tools for Bengali-speaking students. The app provides learners with immediate feedback, aiding them with their situated decision-making in their learning trajectories and environment. In another vein, this study enhances educational practices by promoting individualized, student-centered learning approaches that are tailored to the unique cognitive profiles of each learner. The implications of this research extend beyond higher education institutions to encompass K-12 education and professional development programs, promoting a more inclusive, sustainable, and responsive educational framework across diverse learning contexts.