This article explores the role of real-time sensing in enhancing the quality of life in smart cities through the integration of crowdsensing, crowdsourcing, and IoT technologies. The study presents a platform that enables secure and efficient data collection from various sources, including IoT devices and crowdsensing data, to support urban planning and decision-making. The platform includes a web-based dashboard for data visualization, a mobile application with geofencing capabilities, and a back-office system for managing geofences. The architecture ensures real-time data processing and visualization, allowing urban planners and citizens to gain insights into urban dynamics. The integration of crowdsensing and crowdsourcing enhances community participation in urban planning and resource allocation, promoting sustainable urban development. The platform's key features include real-time responsiveness, enhanced citizen engagement, data-driven decision-making, and sustainability improvements. The study highlights the importance of sensor data in urban knowledge and demonstrates how REST APIs and dynamic data visualization improve data access and informed decision-making. The mobile application enables users to receive notifications based on their location, fostering greater citizen involvement in urban planning. The research underscores the potential of real-time sensing and data integration to revolutionize smart city operations, improve urban living, and enhance the sustainability of urban environments. The findings emphasize the need for continued investment in technology infrastructure and advanced analytical tools to support the efficient and effective management of smart cities.This article explores the role of real-time sensing in enhancing the quality of life in smart cities through the integration of crowdsensing, crowdsourcing, and IoT technologies. The study presents a platform that enables secure and efficient data collection from various sources, including IoT devices and crowdsensing data, to support urban planning and decision-making. The platform includes a web-based dashboard for data visualization, a mobile application with geofencing capabilities, and a back-office system for managing geofences. The architecture ensures real-time data processing and visualization, allowing urban planners and citizens to gain insights into urban dynamics. The integration of crowdsensing and crowdsourcing enhances community participation in urban planning and resource allocation, promoting sustainable urban development. The platform's key features include real-time responsiveness, enhanced citizen engagement, data-driven decision-making, and sustainability improvements. The study highlights the importance of sensor data in urban knowledge and demonstrates how REST APIs and dynamic data visualization improve data access and informed decision-making. The mobile application enables users to receive notifications based on their location, fostering greater citizen involvement in urban planning. The research underscores the potential of real-time sensing and data integration to revolutionize smart city operations, improve urban living, and enhance the sustainability of urban environments. The findings emphasize the need for continued investment in technology infrastructure and advanced analytical tools to support the efficient and effective management of smart cities.