Auxilia: Assistive Learning Tool for Children with Down Syndrome
Abstract
A third copy of chromosome 21 results in the incurable genetic disease called Down's syndrome. A medical term for having an extra copy of a chromosome is ‘trisomy’ and hence is also referred to as Trisomy 21. Children with Down syndrome often have IQs in the lower range and speak more slowly than other kids their age. The project aims to target children under the age of twelve who have issues in learning and getting introduced to new concepts (learning disabilities). The teacher determines the child's preferred technique of learning, and then the best teaching approach is used. The project consists of three sections: the application which is both teacher's and student's phone, an audio comparison module and provision for biotelemetry. The software application consists of activities ranging from LEVEL 1 to LEVEL 4 which helps the child to initially develop interest in the activity and then perform the activity. The audio comparison module compares the voice of the child and the audio it has. The biotelemetry module checks BP, pulse rate, oxygen level and temperature. Thus, AUXILIA will act as an overall assistance guide and a health monitoring device for Down's syndrome students.
Keywords:
assistance, IQ, Learning disability, Down SyndromePublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Lis Jose , Achyuth P Murali, Christin Joseph Shaji, Christy Kunjumon Peter , Multiple Detection and Diagnosis of Skin Diseases using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anna N Kurian, Aravind R Nair, Athira Pradeep, Ben V Sajeesh, Traffic Violation Detection Using Machine Learning: A Comprehensive Study , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Devika R Nilackal, Resmara S, Greeshma R, Griesh R, Joice P Abraham, Najma Najeeb, Shehanas K Salim, CARDAMOM PLANT DISEASE DETECTION USING ROBOT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dipjyoti Deka, Rituparna Seal, Shubham Banik, Unmasking Fraudulent Job Ads: A Critical Review of Machine Learning Techniques for Detecting Fake Jobs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Betzy Babu Thoppil, Anugrah Premachandran, Annapoorna M, Ashwin Mathew Zachariah, Bala Susan Jacob, Advanced Sensor-Based Landslide Detection and Alert System Utilizing Machine Learning , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Richa Maria Biju, Merwin Maria Antony, Mishal Rose Thankachan, Joshua John Sajit, Bini M Issac, Enhancing Image Forgery Detection with Multi-Modal Deep Learning and Statistical Methods , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- R Karthika, Maria Toms, S R Aadrash, P U Prabath, InsightAI: Bridging Natural Language and Data Analytics , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nikita Niteen , Simy Mary Kurian, Exploring Explainable AI, Security and Beyond : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
You may also start an advanced similarity search for this article.
