Enhancing Smart City Services Using Real-Time Big Data Analytics

This research explores how real-time big data analytics can improve smart city services, particularly in traffic and environmental monitoring. It proposes an integrated system using Apache Kafka, Spark, and IoT sensors to collect, analyze, and visualize live data. Through literature review and proposed implementation framework, the study highlights how these technologies can optimize traffic flow, reduce pollution, and enhance decision-making. The research identifies key challenges in real-time analytics and suggests solutions for future smart city implementations.