Voice/Textual BOT Mobile App

In order to promote effective communication between users and other stakeholders through both structured and unstructured chat conversations, this study investigates the creation of a general Voice/Textual BOT mobile application for the iOS and Android platforms. The BOT can process precise, structured inquiries, like "What is my order status?" and get precise data from backend databases by using sophisticated Natural Language Processing (NLP). Additionally, it interprets the context and responds to unstructured inquiries like "status" by giving information like order progress, delivery updates, payment information, and more. Because of its scalable and flexible architecture, the program can be used for a variety of purposes and is compatible with a large number of software systems. This approach lays the foundation for next developments in conversational AI technology by improving user engagement, expediting information retrieval procedures, and facilitating cross-platform integration.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-07
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.39138
Primary Topic
ICT Impact and Policies
Type
article
Field-Weighted Citation Impact
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article

Voice/Textual BOT Mobile App

Vinod Devaraj, Ankit Yadav, H Gagan, D Harshith et al.
International Journal For Multidisciplinary Research
ICT Impact and Policies
article

Voice/Textual BOT Mobile App

Vinod Devaraj, Ankit Yadav, H Gagan, D Harshith, P Agalya
article en

Abstract

In order to promote effective communication between users and other stakeholders through both structured and unstructured chat conversations, this study investigates the creation of a general Voice/Textual BOT mobile application for the iOS and Android platforms. The BOT can process precise, structured inquiries, like "What is my order status?" and get precise data from backend databases by using sophisticated Natural Language Processing (NLP). Additionally, it interprets the context and responds to unstructured inquiries like "status" by giving information like order progress, delivery updates, payment information, and more. Because of its scalable and flexible architecture, the program can be used for a variety of purposes and is compatible with a large number of software systems. This approach lays the foundation for next developments in conversational AI technology by improving user engagement, expediting information retrieval procedures, and facilitating cross-platform integration.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 90%
ICT Impact and Policies
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