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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43426

AI Voice Assistance for Smarter Business Analysis

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43426

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43426

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RM

Rohit Mishra

DS

Deepak Suthar

ST

Sajal Tembhare

SS

Shraddha Shah

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Abstract

This paper presents the development and implementation of an AI-powered voice assistance tool designed for smarter business analysis, with a focus on SEO auditing. The tool integrates voice command capabilities using the Web Speech API, combined with advanced data visualization and reporting features. Built with modern web technologies such as React 18, TypeScript, and Tailwind CSS, the tool offers a user-friendly interface for analysing website performance. The paper discusses the core features, technologies used, and the workflow of the tool, emphasizing its potential to revolutionize business analysis through voice-enabled interactions. The tool’s ability to generate interactive visual reports and comprehensive PDF downloads via voice commands highlights its innovative approach to simplifying complex data analysis. By leveraging voice interaction and realtime data visualization, the project demonstrates how voice-assisted technologies can enhance accessibility, efficiency, and decision- making in business analysis workflows. This research paves the way for future advancements in AI-driven business tools.

KEYWORDS

AI voice assistance business analysis SEO auditing Web Speech API data visualization React TypeScript.

Cite This Article

Rohit Mishra, Deepak Suthar, Sajal Tembhare, Shraddha Shah, "AI Voice Assistance for Smarter Business Analysis," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43426

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Publication Date

3/31/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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