TOWARDS SUSTAINABLE SMART CITIES: IOT-ENHANCED WASTE WATER MANAGEMENT USING CNN
DOI: https://doi.org/10.65725/JCISE/1/1/002
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE)
ISSN: 3107-8168
Volume 1 Issue 1, July 2025

Abstract
The idea of clever cities has received excellent attention in new ages due to the growing urbanization and the want for sustainable growth. Green wastewater management is crucial in making a sustainable, bright town. Traditional Traditional wastewater management strategies could be more efficient and result in better environmental outcomes. Therefore, there is an urgent want for progressive solutions to tackle this difficulty. This look proposes an Internet of Things (Iot)  and Convolutional Neural network (CNN) based solution for wastewater control in intelligent towns. The Iota community includes sensors established in crucial places within the city to acquire real-time statistics  on the satisfactory amount of wastewater. This data is then processed using CNN, an artificial intelligence technology recognized for its excessive accuracy and potential to discover patterns in complicated  statistics sets. The proposed machine has several advantages over conventional wastewater management techniques. Firstly, the actual-time information collection and evaluation permits for quicker detection of anomalies and potential pollution events.

Authors: Dr. A Senthil Kumar, Dr. Saritha K

Keywords: Development; Management; Environmental; Convolutional; Intelligence;