AI[SYS_ID: AI-CALL-CENTER]
AI-powered inbound call center using VAPI voice agents for appointment booking, rescheduling, and cancellations.
01.System Interface & Screenshots
https://ai-call-center.aqib.dev
[SCREENSHOT_01_ACTIVE]
02. Interactive Pipeline Simulation
Interactive System Architecture Simulator
Simulate processes and see live data flows, database locks, and logs in Aqib's backend pipelines.
System Node Architecture:
Caller Phone
VAPI Voice
NestJS API
PostgreSQL
Visual Feedback Window:
VAPI AGENT HUD DISPLAYSTATUS: IDLE
Click "Start Simulation" to launch phone sequence.
Pipeline Stage Info
Press "Start Simulation" to review detailed process annotations.
Pipeline Console Output:
Console output idle. Launch simulation to trace diagnostic outputs.
03. The Problem
Local businesses suffer from high missed-call rates and waste customer support hours managing repetitive appointments, reschedules, and cancellations.
04. The Solution
Configured VAPI voice assistants and developed webhook API middleware that interfaces with business databases to query availability, schedule appointments, and dispatch text confirmations.
05. Key Features
- >Inbound AI call handling & voice-to-text response
- >Real-time calendar availability queries
- >Automated appointment booking, rescheduling, and cancellation
- >Robust fallback logic to human operators
- >API webhook validation and logging
AI & Automation Workflows
-VAPI real-time voice agent workflows
-LLM-powered prompt designs for conversational intent extraction
-Context-aware system instructions for handling caller frustration
08. Engineering Challenges
Handling caller pauses and background noise gracefully
Configured optimal voice detection sensitivity and built conversational 'hums' to keep users engaged.
Preventing double-booking during concurrent call spikes
Designed transaction-safe lock mechanisms in the scheduling API database.
[SYSTEM_SPECIFICATIONS]
ROLE:
AI / Backend Engineer
CATEGORY:
AI
TECHNOLOGY STACK:
VAPILLMsPythonJavaScriptREST APIsCloud Deployment
BUSINESS IMPACT:
Successfully automated 80% of routine client booking requests and ensured 24/7 service availability without hiring extra support staff.