1. Introduction

This project focuses on developing and integrating smart systems that leverage IoT, sensors, and Machine learning in urban infrastructure management which is a critical challenge in modern cities , requiring efficient monitoring , real time data analysis and automated decision maki. Recognizing the limitations of traditional, manual approaches in areas like traffic management and agriculture, this project emphasizes the critical role of IoT standards. By adhering to these standards, we ensure seamless interoperability between diverse devices and systems, facilitating scalability, enhancing reliability, and bolstering security within the evolving smart city ecosystem. This foundation of standardized technology enables the creation of robust and sustainable solutions that effectively address real-world challenges and contribute to a more efficient and interconnected urban environment. By integrating IoT, and advanced analytics, it optimizes infrastructure, services, and resource management. Smart cities aim to improve efficiency, sustainability, and quality of life, addressing challenges like traffic congestion, energy consumption, and public safety.

2. Objectives

• Optimize traffic flow using AI-driven smart traffic management.
• Enhance agricultural efficiency through automated, resource-efficient irrigation systems.
• Ensure industrial safety by detecting real-time faults in machinery.
•  Promote the use of sustainable energy via wireless EV charging technology.
•  Enable prompt emergency response through an accident detection and notification system.
• Establish a cohesive smart city framework to integrate these solutions into a sustainable, connected ecosystem.