AI-Powered ICare Infant Cry Analysis and Speech Therapy | ||
| Egyptian Journal of Artificial Intelligence | ||
| Volume 3, Issue 2, September 2024, Pages 1-10 PDF (1.14 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejai.2024.298269.1025 | ||
| Authors | ||
| Mahmoud Y Shams* ; Nada Nasr; Heba Abdelaziz; Abeer Elmorshdy; Weaam Elsayed; Youmna Elghanam; Abdelrahman Shady; Abdelrahman Elbadawy; Osama Elmoghazy; Ahmed Muqawi; Muhammed Khalifa; Abdelkareem Elkhateb; Ahmed Ghaly | ||
| Kafrelsheikh University | ||
| 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. | ||
| Keywords | ||
| Childcare; Emotion Recognition; Sentence Transformers; Voice Recognition; Speech Therapy | ||
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