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
- Adithya Raj, Jibin Gigi, Lidiya Reju, Manu Emmanuel, Smitha Jacob, Footage Analysis Toolkit: A System for Semantic Video Retrieval and Structured Forensic Analysis , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Felix Jobi, Nagaraj Menon K S, Revathy Biju, Shraya S Santhosh, StockGenie: AI-Driven Stock Market Assistant and Forecasting System , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Anakin Rajeev, Arya B, Mekha Jose, Archanamol Lalu , Bhadra J , Hand Gesture Recognition Using Deep Learning Techniques-Review , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Arya Raj S, R Gopika Krishnan, Drishya Das, Rohith R, Jocelyn Ann Joseph, Personality Profiling Using CV Analysis , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nehala Noushad, Nikhitha Thomas, Reema Maria Suresh, Rehan T Raj , Resmipriya M G, AI-Based Analysis of Road Congestion Causes Using Real-Time Traffic Camera Data , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Betzy Babu, Anitta Maria Siljo, Ann Mariya Varghese, Anoop Joseph, Aswajith Sajeev, SMART TIME MANAGEMENT SYSTEM FOR STUDENTS USING DATA DRIVEN INSIGHTS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Betzy Babu, Anitta Maria Siljo, Ann Mariya Varghese, Anoop Joseph, Aswajith Sajeev, SMART TIME MANAGEMENT SYSTEM FOR STUDENTS USING DATA DRIVEN INSIGHTS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- ANU ROSE JOY, Christeena Antony, Dona Mariyam John, Anuja Sara Mathew, Christeen Mareia Paul, UnLocking Emotion Recognition in ASD Children: Analyzing Facial Expressions , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Muneebah Mohyiddeen, Sana T.H, Anoodh Hussain, Nandana P Narayanan, Sneha Soman, DGCURE: Model for Detection of Dysgraphia , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Melvin Tom Varghese, Joseph V S, Kevin Chacko, Johns Benny, Tintu Alphonsa Thomas, Crop Recommendation System using Machine Learning and IoT , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
