Abstract: Managing incoming calls during busy or unavailable periods remains a significant challenge in modern organizational environments, often leading to missed important calls and inefficient follow-up scheduling. This paper presents AVI – an AI Virtual Assistant that automates call handling and meeting scheduling by integrating Twilio telephony services, a Fast API backend, Python logic, Google Calendar API, and a React-based dashboard. Incoming calls are processed through Twilio webhooks, where digit-based user inputs are forwarded to the backend for deterministic decision-making and real-time calendar availability checks. Scheduling requests are displayed on the dashboard with caller details and approve or reject options, enabling user-controlled meeting management. Upon approval, a meeting link is automatically generated and updated on the dashboard, while rejected requests are declined without further notification. Experimental results indicate that AVI offers reliable request handling, smooth backend-to-dashboard synchronization, and efficient automated scheduling, making it a scalable and practical solution for intelligent call automation.

Keywords: AI Virtual Assistant, Call Automation, Twilio Webhooks, Fast API Backend, Automated Meeting Scheduling, Google Calendar Integration, React Dashboard, Telephony Automation.


Downloads: PDF | DOI: 10.17148/IJARCCE.2026.15159

How to Cite:

[1] Akhila B, Suma N R, "AVI-AN AI VIRTUAL ASSISTANT," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15159

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