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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20004

VOIP Based Intelligence Calling System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20004

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

GC

Girish Chaudhari

PK

Pravin Korde

SP

Shubham Patil

RB

Rushikesh Bhongal

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Abstract

The Voice Over Internet Protocol (VOIP) is as a combination of IP networks, voice applications and voice calls which being replaced by the old service conversation and created the revolution at the technical and conceptual framework of phone. This technology is an innovative form of phone that can dramatically increase performance and capacities of telephone service for business and individuals around the world. In this paper we give a survey of this new technology and present how this technology can be applied for the integration of voice and data networks.The system comprises of several components, including speech recognition, natural language processing, and machine learning algorithms, which work together to enable advanced features such as call routing, intelligent call analysis, and real-time language translation. The paper discusses the architecture of the system, its various components, and their interactions. The results of the evaluation of the system show that it significantly improves the efficiency and accuracy of call processing and reduces the workload of call center operators. The proposed system has a wide range of applications in various fields, including customer service, healthcare, education, and business communication.

KEYWORDS

VOIP Communication methods Quality of Service (QoS).

Cite This Article

Girish Chaudhari, Pravin Korde, Shubham Patil, Rushikesh Bhongal, "VOIP Based Intelligence Calling System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM20004

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Publication Date

3/4/2023

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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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