UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2602103


Registration ID:
575480

Page Number

b20-b23

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Title

Smart Assistive Hearing Device with Adaptive Sound Profiling

Abstract

Hearing loss is a growing global health concern that affects millions of people and significantly impacts their ability to communicate and interact with society. Conventional hearing aids primarily amplify all sounds in the environment, including unwanted background noise, which reduces their effectiveness in real-world situations such as classrooms, busy streets, or social gatherings. To overcome these limitations, this project presents the design and development of an AI-powered smart hearing aid system that leverages artificial intelligence (AI) and digital signal processing (DSP) to selectively enhance speech and suppress noise.The proposed system uses a MEMS microphone to capture ambient sound, which is processed by a NodeMCU/ESP32 microcontroller equipped with DSP techniques and lightweight AI algorithms for noise cancellation, speech detection, and adaptive amplification. The processed audio is then wirelessly transmitted to Bluetooth-enabled earbuds, ensuring comfort and ease of use without the need for custom hardware receivers. The system further integrates environment-aware sound profiling, enabling it to automatically adapt to different acoustic environments. Additionally, features such as health monitoring (heart rate and activity tracking) and fall detection with alert notifications are included to enhance safety and usability, particularly for elderly users. By combining low-cost electronic components, wireless communication, and machine learning-based sound enhancement, this project aims to create an affordable, portable, and intelligent alternative to traditional hearing aids. The developed prototype not only addresses the limitations of existing devices but also provides a platform for further innovations in personalized hearing solutions and assistive healthcare technologies.

Key Words

Smart hearing aid, Artificial intelligence, Digital signal processing, Noise cancellation, Speech enhancement, ESP32, MEMS microphone

Cite This Article

"Smart Assistive Hearing Device with Adaptive Sound Profiling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.b20-b23, February-2026, Available :http://www.jetir.org/papers/JETIR2602103.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Smart Assistive Hearing Device with Adaptive Sound Profiling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppb20-b23, February-2026, Available at : http://www.jetir.org/papers/JETIR2602103.pdf

Publication Details

Published Paper ID: JETIR2602103
Registration ID: 575480
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: b20-b23
Country: HYDERABAD, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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