AI Call Assistant

An intelligent outbound calling system powered by VAPI AI, Make.com workflows, and Twilio infrastructure. The assistant speaks fluent English and Hindi, switching naturally mid-conversation to match the caller.

Core Architecture

VAPI AI

The conversational AI engine for outbound calls. Delivers natural language understanding, bilingual (English/Hindi) fluency, and adaptive call handling.

Make.com Workflows

Orchestrates the entire call pipeline:

• Webhook Trigger: Receives user data from the contact form
• Supabase Integration: Stores and retrieves contact information
• Data Processing: Normalizes phone numbers and user data
• Array Aggregator: Iterates through contacts for batch calling
• HTTP Module: Triggers VAPI calls with proper authentication and payload

Twilio Integration

Provides the underlying telecommunications infrastructure:

• Phone number provisioning
• Call routing and management
• Inbound/outbound call handling
• IVR capabilities

Get a Twilio number (available on trial accounts)

System Flow

Contact Form → Node.js API → Make.com Webhook 
→ Supabase (Data Storage) → Data Processing 
→ VAPI AI Assistant → Twilio (Phone Calls)

Key Capabilities

• Bilingual voice experiences in English and Hindi, including smooth code-switching
• Automated outbound campaigns with batch processing and contact enrichment
• Real-time orchestration via Make.com with Supabase-backed data
• Carrier-grade delivery and IVR options through Twilio
• Secure credential handling with API-keyed requests to VAPI and Twilio

Setup & Configuration

Prerequisites

• Node.js & npm
• VAPI AI account and API key
• Make.com account and workflow
• Twilio account with phone number
• Supabase project (for data storage)

Installation

npm install
npm start

Server runs on: http://localhost:3000

Configuration Guide

1. Twilio Setup

• Buy a phone number from Twilio Console
• Note your phone number ID (used in Make.com workflow)

2. VAPI Configuration

• Create an AI assistant in VAPI
• Configure assistant behavior and language settings
• Get your assistant ID and API key
• Set authentication headers in Make.com HTTP module

3. Make.com Workflow

• Webhook receives contact data
• Supabase module stores/retrieves phone numbers
• Array Aggregator processes batch calls
• HTTP module calls VAPI with payload:

  {
    "customer": {
      "number": "{{phone_number}}",
      "name": "{{user_name}}",
      "extension": ""
    },
    "phoneNumberId": "<your_twilio_id>",
    "assistant": {{assistant_config}}
  }

4. Server Integration

Update /api/call endpoint in server.js to connect with your Make.com webhook

Technologies

• Backend: Node.js, Express.js
• AI: VAPI AI
• Workflow Automation: Make.com
• Telecommunications: Twilio
• Database: Supabase
• Frontend: Vanilla HTML/CSS/JavaScript

Screenshots

• Call outcome preview:
  
• Make.com workflow orchestration:

Feel free to reach out to me in case you have any queries!