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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60937

AI-POWERED VOICE RECEPTIONIST FOR ATHARVA COLLEGE OF ENGINEERING USING VAPI.AI, TWILIO AND N8N AUTOMATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60937

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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

SZ

Sanica Zore

AM

Avnish Maurya

SS

Sahil Sandanshiv

AS

Amitesh Sanaganabhatla

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Abstract

This paper presents the design and implementation of an AI-powered voice receptionist system, named “Kanika”, developed for Atharva College of Engineering (ACE), Mumbai. The system automates the management of incoming phone calls using a no-code and low-code technology stack comprising Vapi.ai for voice AI orchestration, Twilio for telephony infrastructure, GPT-4o as the underlying large language model, Azure Neural TTS (hi-IN-SwaraNeural) for bilingual Hindi-English speech synthesis, and n8n for post-call workflow automation. Kanika handles frequently asked questions related to admissions, fee structures, examination schedules, and placement activities. It collects caller information, routes complaints to appropriate departments, logs all interactions to Google Sheets, books appointments via Google Calendar, and dispatches real-time alerts to department heads via Gmail and WhatsApp. Tested at Atharva College of Engineering, the system demonstrates 24/7 availability, natural bilingual Hindi-English conversation capability, and significant reduction in receptionist workload.

KEYWORDS

Voice AI AI Receptionist Conversational AI Vapi

Cite This Article

Sanica Zore, Avnish Maurya, Sahil Sandanshiv, Amitesh Sanaganabhatla, "AI-POWERED VOICE RECEPTIONIST FOR ATHARVA COLLEGE OF ENGINEERING USING VAPI.AI, TWILIO AND N8N AUTOMATION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

4/23/2026

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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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