AssistVoice: A Voice-Based Visual Routine Learning System for Children
Abstract
Children often struggle with understanding their
daily routine, connecting spoken words with action in the
real world, and sustaining attention during instructional
time. The available cartoon-based educational applications
may overstimulate children and reduce their ability to learn
effectively. The project described in this paper presents a voicedriven,
routine-based educational app for children aged 3–9. The
app converts spoken sentences into visual representations that
make the spoken word meaningful and uses guided activities to
reinforce routine learning. Additionally, the app allows children
to develop healthier digital habits by providing timed sessions.
The application uses speech recognition, provides AI-generated
visual reinforcers, and includes parental controls to create a
calming, stimulating, and safe learning environment.
Keywords:
Voice-Based Learning, Routine Management,, Child-Friendly Applications, Early Learning TechnologyPublished
Issue
Section
License
Copyright (c) 2026 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
- Minu Cherian, Sivakami Sudesh, Sivani M Kumar, Sneha J Kannan, Sneha Rose Vinod, A Review Based On Deep Learning Techniques Of Ovarian Cancer Detection , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Elisabeth Thomas, Arjun Saji, Aswin M S, Augustine Salas, Emil Viju, A Comprehensive Review of Advancing Cattle Monitoring and Behavior Classification using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Thomas Mathew Jose, Mathew Abraham, Sebastian Biju , Samuel Michael , Minu Cherian , Canine Dermal Analyser: Harnessing Artificial Intelligence and Deep Learning to Revolutionize Canine Skin Disease Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Abid Muhammad, Alan Abdul Gafar, Abin Melvin, Bibin Varghese, A Two-Stage Deep Learning Framework for Skin Lesion Detection and Classification Using ResNet18 and EfficientNet-B4 , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam , A Comparative Study of AI Models and AI-Based Approaches for Evaluating Subjective Answers in Exams , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ankith Issac Dominic, Meera Johnson, Jaida Fathima, Alaina Benny, Amritha Soloman, PARK-EZE: An IoT based Smart Parking System using DLSTM Prediction , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jeswin Sabu, Kevin Biju Kulangara, Prapanch J, Stephin Mathew, Vimal Babu P, GestureMate: An AI-Driven System for Real-Time Malayalam Sign Language and Speech Translation , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- K A Arun, Christine Maria Jose , Ann Mathew, Elizabeth Jullu, Lida K Kuriakose, Location-Based Alarm Systems and Service Recommendations for Enhanced Travel Management , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rony Sebastian Tomson, Alan Leejoy, Nandagopan L, Althaf Rahman, Angitha George, Reson Studio: An AI Integrated Digital Audio Workstation for Intelligent and Collaborative Music Production , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
