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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40839

Customer Support Chat Bot with Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40839

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40839

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

GS

G Sarayu

FN

Fatima Noori

SP

Sony Priya

PGP

Praveen Giridhar Pavaska

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Abstract

Customer support is a critical function for businesses aiming to deliver excellent service and retain loyal customers. In recent years, chatbots powered by machine learning (ML) have transformed how businesses interact with customers by providing instant, accurate, and scalable support. This article delves into the development, functionality, and benefits of customer support chatbots built with machine learning. AI-powered chatbots are increasingly popular in customer support due to their adaptability and efficiency.This project creates a modern customer service chatbot with a unique “speak aloud” feature that makes it different from other chatbots that only interact with users through text. Our chatbot, driven by machine learning, answers the world’s problems with customer engagement by efficiently translating spoken inquiries. In addition to text messaging, the UI is enhanced with several features in one chatbot, such as a microphone for voice input, an image-to-text converter, and a quick copy feature. This novel approach seeks to provide fast, easy, and adaptable answers to consumer questions, changing how customer service is provided by taking a thorough and formally organized app

KEYWORDS

Chatbot · Query · Machine learning · Natural language processing · Artificial intelligence · Flask · Mistral

Cite This Article

G Sarayu, Fatima Noori, Sony Priya, Praveen Giridhar Pavaska, "Customer Support Chat Bot with Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40839

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Publication Date

1/17/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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6

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5

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Conflict of Interest

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

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No funding information available for this research.

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