Towards a Smart Tehran: Leveraging Machine Learning for Sustainable Development, Balanced Growth, and Resilience

In this paper, we present a comprehensive plan for transforming Tehran into a smart city by leveraging machine learning techniques while prioritizing sustainable development, balanced development, and resilience. The plan outlines the key components, including data collection, machine learning algorithms, and initiatives for sustainable and equitable development. We discuss the hardware and software requirements for implementing machine learning algorithms in a smart city context, along with examples of input and output data for various applications. Additionally, we highlight the importance of monitoring, evaluation, and iteration to ensure the effectiveness of smart city initiatives. By following this plan, Tehran can harness the power of machine learning to address urban challenges, improve quality of life, and foster long-term prosperity for its residents.

Keywords:

smart city , Tehran , machine learning , sustainable development , balanced growth , resilience , urban challenges , data-driven decision-making , quality of life , urban innovation