Lal, MilyDash, SoumyakantKeerthika, JKumar, Bura VijayAli, GumaShukla, Vinod Kumar2025-12-192025-12-192025-12-05Lal, M., Dash, S., K., J., Kumar, B. V, Ali, G., & Shukla, V. K. (2025). Augmented heritage: AR and QR code integration for interactive cultural storytelling in the UAE. 2025 International Conference on Intelligent and Secure Engineering Solutions (CISES), 893–897. https://doi.org/10.1109/CISES66934.2025.11265649https://dir.muni.ac.ug/handle/20.500.12260/850This paper introduces a deep learning-based traffic congestion prediction model using IoT sensors and edge computing to enable real-time traffic management and reduce urban mobility challenges. By leveraging advanced neural networks for accurate forecasting, the system enhances transport efficiency and sustainability. It directly supports SDG 11 (Sustainable Cities and Communities) and SDG 9 (Industry, Innovation, and Infrastructure) by promoting smart urban infrastructure and innovation. The research aligns with Uganda’s National Development Plan IV aspirations for modern transport systems, digital transformation, and infrastructure development, fostering economic growth and improved public service delivery through intelligent mobility solutions.This study has outlined a mobile-augmented reality (AR) storytelling framework utilizing Quick Response (QR) code technology to provide cultural engagement at heritage sites in the United Arab Emirates. The project set out to merge traditional heritage with augmented immersive technology and focused on a four-phase methodology: (1) Content curation and narrative design through historians and cultural experts; (2) Planning QR codes in spaces cooperatively designed through spatial design and semiotics of culture; (3) Content development of AR experiences in Unity and Vuforia using finite state machine for stability and usability; and (4) User testing in three major heritage locations. The quantitative and qualitative evaluations measured user engagement, narrative retention, usability of the system, and cultural sensemaking. Relative to baseline digital experiences, the AR-QR platform saw significant gains: 25-30% improvement in engagement; 20-25% improvement in narrative retention; and over 15% improvement in usability and cultural relevance. The study evidence demonstrates the promise of AR-QR storytelling and approach to deliver contextually rich and interactive heritage experiences. Although there are limitations in device affordances/conceivability and longer-term evaluations, this study suggests---immersive storytelling can make heritage more engaging, accessible, and meaningful to a diverse population.enTechnological innovationQR codesSpatial computingSemioticsPlanningMobile applicationsCultural differencesUsabilitySmart devicesTestingOther