ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    AeroSense: AI-Driven Smart Climate Control System For Modern Spaces

    G. Mahammad Idrush, V. Vinay, V. Sandeep, Shaik. Afreen

    Author

    ID: 2111

    DOI: Https://doi.org/10.64771/ijesat.2026.v26.i03.2111

    Abstract :

    This Paper Introduces AeroSense, An Intelligent, Adaptive Climate Control Ecosystem Designed To Bridge The Gap Between Operational Efficiency And Occupant Comfort. Modern Establishments Rely On Air Conditioning Systems With Fixed Settings, Ignoring The Dynamic Nature Of Occupancy. AeroSense Utilizes An ESP32-S3 Edge Device, Integrated IR Blaster Arrays, And Real-time Environmental Sensors To Solve This. Utilizing ESP-NOW For Low-latency Communication And Machine Learning For Behavioral Analytics, The System Dynamically Adjusts Temperatures Via An Intuitive IoT Interface. Preliminary Findings Suggest Energy Savings Of 15% And A 20% Carbon Footprint Reduction. Keywords— Artificial Intelligence, Smart Climate Control, ESP32-S3, IoT, Edge Computing, Sustainability, Building Automation, ESP-NOW, HVAC Optimization.

    Published:

    16-3-2026

    Issue:

    Vol. 26 No. 3 (2026)


    Page Nos:

    180-182


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    G. Mahammad Idrush, V. Vinay, V. Sandeep, Shaik. Afreen, AeroSense: AI-Driven Smart Climate Control System for Modern Spaces , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(3), Page 180-182, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2026.v26.i03.2111