INTELLIGENT BUDDY
Abstract
Software agents known as voice assistants are able to understand human speech and answer with synthetic voices. The most well-known voice assistants, which are built into smartphones or specific home speakers, are Apple’s Siri, Amazon’s Alexa, Microsoft’ Cortana, and Google’s Assistant. Users can use voice commands to manage other basic chores like email, to-do lists, and calendars, as well as ask inquiries of personal assistants, operate home automation devices, and playback of media. By holding and analysing information in the context of the user, this engages the capacity for social communication through natural language processing. This research will examine the fundamental operations and typical characteristics of voice assistants in use today. The currently used system operates online and is kept up by a third party. This program will safeguard personal information from others and use the local database, speech recognition and synthesizer.
Keywords:
Speech recognition system, Voice assistants, Machine LearningPublished
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, Albin John Wilson, Akshay Sebastian, Alisha Ann Subash, Agnes James, SafeRoute-A Comprehensive Travel Solution , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- C P Athira, Fathima Sithara P.A, HAND GESTURE BASED HOME AUTOMATION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Tintu Alphonsa Thomas, Anishamol Abraham, CNN model to classify visually similar Images , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aaron Samuel Mathew , Adhil P, Alan Siby, Alwyn Jospeh , Real Time Scheduling And Navigation Portal , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jane George, A study on Multiple-Instance GPU, Evolution, Architecture and Applications , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jannies Varghese, Joel K Joseph, Jovit John K , Jayanth Thomas Eapen, Power Plus A Fitness/Yoga and Diet Software System to Improve the Health of the People , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Prof.Pavitha P.P , S Abhinav, Abida P Vaidyan , B Parvathi, A Critical Evaluation on Line of Sight Based Data Transmission A Review , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): 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
- Jesvin Jelson , Kesiya Rachel Johns, Mehak , Ken Jacob Zachariah, Neenu R, Custom Cart – Virtual try-on in e-commerce platforms using generative AI , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
You may also start an advanced similarity search for this article.
