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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM59057

Raspberry Pi-Based Carbon Footprint Analyzer for Smart Homes

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59057

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM59057

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BJ

Batchu Jahnavi¹

PV

Palukuri Varshini²

SV

Syed Vaheeda³

DN

Dasari Narendra⁴

RMV

Rayapaneni Mourya Vardhan⁵

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Abstract

The Raspberry Pi-based Carbon Footprint Analyzer for Smart Homes is designed to monitor energy consumption, environmental pollution, and electrical safety in a smart home environment. The system uses a PZEM sensor to measure electrical parameters such as voltage, current, power, and energy consumption. MQ-7 and MQ-135 gas sensors are used to detect harmful gases and monitor indoor air quality. The collected data is processed using Raspberry Pi to calculate carbon footprint based on energy consumption and emission factors. The system also includes safety features such as relay protection, buzzer alerts, fingerprint authentication, and IR-based human detection. The system displays data on LCD and uploads data to IoT platform for monitoring.

KEYWORDS

Raspberry Pi Carbon Footprint Smart Home Energy Monitoring Gas Sensor IoT

Cite This Article

Batchu Jahnavi¹, Palukuri Varshini², Syed Vaheeda³, Dasari Narendra⁴, Rayapaneni Mourya Vardhan⁵, "Raspberry Pi-Based Carbon Footprint Analyzer for Smart Homes," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM59057

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Publication Date

5/3/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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