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379447

AI-Powered ICare Infant Cry Analysis and Speech Therapy

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Last updated: 05 Jan 2025

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Abstract

In this paper, the creation of the AI-powered mobile application ICare which specifically targets the age range of 1 month to 1 year is presented. The application's goal is to empower parents in the care and raising of their children. By using cutting edge AI algorithms, the application helps parents better understand their child's wants and emotions by analyzing a baby's crying sounds and predicting the underlying causes. The ICare app also has speech therapy tools that allow for customized exercises to help kids get better at language and communication. The incorporation of these artificial intelligence (AI) powered features into an all-inclusive childcare platform is a big step in the direction of improving human experience via intelligent AI integration. One noteworthy innovation to the ICare app is a childcare specific chatbot feature that is quite realistic. This chatbot answers parents' questions on everything from feeding regimens to developmental milestones in childcare. Parents can be sure that the chatbot provides reliable guidance and support, which makes it an invaluable tool for handling day to day childcare difficulties. The model's overall accuracy, according to the classification report, is 74%. For some classes, like "hungry," it has high recall and precision, but for other classes, like "tired," it has areas for precision improvement. These results highlight the app's strong performance in predicting the causes of a baby's cries, which is essential for its ability to help parents.

DOI

10.21608/ejai.2024.298269.1025

Keywords

Childcare, Emotion Recognition, Sentence Transformers, voice recognition, Speech therapy

Authors

First Name

Mahmoud

Last Name

Shams

MiddleName

Y

Affiliation

Kafrelsheikh University

Email

mahmoud.yasin@ai.kfs.edu.eg

City

Kafrelsheikh

Orcid

0000-0003-3021-5902

First Name

Nada

Last Name

Nasr

MiddleName

-

Affiliation

Kafrelsheikh University

Email

nadanasr370@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Heba

Last Name

Abdelaziz

MiddleName

-

Affiliation

Kafrelsheikh University

Email

hebauwk25800@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Abeer

Last Name

Elmorshdy

MiddleName

-

Affiliation

Kafrelsheikh University

Email

byralmrshdy41@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Weaam

Last Name

Elsayed

MiddleName

-

Affiliation

Kafrelsheikh University

Email

weaam.ai_0482@ai.kfs.edu.eg

City

Kafrelsheikh

Orcid

-

First Name

Youmna

Last Name

Elghanam

MiddleName

-

Affiliation

Kafrelsheikh University

Email

youmnaelghanam226@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Abdelrahman

Last Name

Shady

MiddleName

-

Affiliation

Kafrelsheikh University

Email

abdooshady@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Abdelrahman

Last Name

Elbadawy

MiddleName

-

Affiliation

Kafrelsheikh University

Email

gekaa1052@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Osama

Last Name

Elmoghazy

MiddleName

-

Affiliation

Kafrelsheikh University

Email

osamazxzx64@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Ahmed

Last Name

Muqawi

MiddleName

-

Affiliation

Kafrelsheikh University

Email

ahmedmuqawi@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Muhammed

Last Name

Khalifa

MiddleName

-

Affiliation

Kafrelsheikh University

Email

mohamed.ai_0400@ai.kfs.edu.eg

City

Kafrelsheikh

Orcid

-

First Name

Abdelkareem

Last Name

Elkhateb

MiddleName

-

Affiliation

Kafrelsheikh University

Email

kareem01095134688@gmail.com

City

Kafrelsheikh

Orcid

-

First Name

Ahmed

Last Name

Ghaly

MiddleName

-

Affiliation

Kafrelsheikh University

Email

ahmedghaly0767@gmail.com

City

Kafrelsheikh

Orcid

-

Volume

3

Article Issue

2

Related Issue

50315

Issue Date

2024-09-01

Receive Date

2024-06-20

Publish Date

2024-09-01

Page Start

1

Page End

10

Print ISSN

2786-0205

Online ISSN

2786-0213

Article File

EJAI_Volume 3_Issue 2_Pages 1-10.pdf

PDF . 1.2MB

Link

https://ejai.journals.ekb.eg/article_379447.html

Detail API

https://ejai.journals.ekb.eg/service?article_code=379447

Order

379,447

Type

Original Article

Type Code

1,898

Publication Type

Journal

Publication Title

Egyptian Journal of Artificial Intelligence

Publication Link

https://ejai.journals.ekb.eg/

MainTitle

AI-Powered ICare Infant Cry Analysis and Speech Therapy

Details

Type

Article

Created At

28 Dec 2024