Reducing Carbon Footprint by Optimizing IOT Device Usage

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Reducing Carbon Footprint by Optimizing IOT Device Usage

Mohana S D, Department of Computer

Science and Engineering,

Presidency University, Bangalore, India. mohana.sd@presidencyuniversity.in

P Durga Prasheena , Department of Computer

Science and Engineering (IoT), Presidency University, Bangalore,

India. durgaprasheena2003@gmail.com

Challa Shalini, Department of Computer

Science and Engineering (IoT),

Presidency University, Bangalore, India.

shalinichalla123@gmail.com

Chavva Rajeswari, Department of Computer

Science and Engineering (IoT), Presidency University, Bangalore,

India. rajichavva@gmail.com

Venkat Navya S Department of Computer

Science and Engineering (IoT), Presidency University, Bangalore, India. navyasrinivas1524@gmail.com

Abstract-The project improves the energy efficiency in the IoT system with reduction of carbon footprint. It so does by real-time monitoring and processing of data, device's control given the development through Flask, and handling of the front-end process using modern web technologies. The datasets are given in this analysis of the usage pattern of energy, thus highlighting its inefficiencies and allows for prediction in maintenance and adaptive optimisation strategies. This movement is devoid of waste of energy unnecessarily; thus, it brings about sustainability so far as it gives common-sensical understanding on how the IoT system can efficiently and effectively be operated. Thus, it goes hand-in-hand with global campaigns aimed at countering change efforts in climate by an IoT technology-a tool for reducing environmental impacts by the connected system using data analytics and software solutions.
Keywords- Carbon Footprint, IoT, Machine Learning, Energy Optimization, Smart Cities, Sustainability, Predictive modeling.

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