AI Calling Agent with Admin Dashboard for Doctors

  • Home
  • /AI Calling Agent with Admin Dashboard for Doctors
Project Details Cover 1

AI Calling Agent with Admin Dashboard for Doctors

Project Information

Title: AI Calling Agent with Admin Dashboard for Doctors • Industry: Healthcare / HealthTech / Artificial Intelligence / Communication / SaaS • Project Category: AI-powered Communication System (Voice Bot + Dashboard) • Project Duration: 4-5 months (MVP) • Project Cost: ~ $8,000 - $12,000 (MVP estimation) • Project Started On: March 2025 • Role: Lead Full-Stack Software Engineer (Architecture, Backend, Frontend, Deployment) • Live URL: https://das-admin-frontend.vercel.app/

Description

The AI Calling Agent is an intelligent voice bot built to automate outbound and inbound calls using AI-driven natural language processing. It integrates with telephony services to interact with patients, answer questions, and perform appointment tasks. A React-based Admin Dashboard provides full control over call campaigns, customer lists, and real-time analytics.

Problem

Businesses and healthcare providers spend significant resources on manual calling for appointment confirmations, follow-ups, and reminders. Key challenges include:

• High cost of maintaining call centers. • Limited scalability of human-led calling operations. • Human errors and inconsistent communication quality. • Lack of real-time visibility into call performance.

Solution

The AI Calling Agent + Dashboard solves these bottlenecks with automation-first architecture.

Voice bot workflows handle both incoming and campaign-driven outgoing calls.

Technologies Used

Frontend (Dashboard): React.js, Redux Toolkit, TailwindCSS

Backend: Node.js (Express.js), WebSockets for real-time updates

Database: PostgreSQL / MongoDB

AI & Voice: OpenAI Realtime API / Google Dialogflow / Whisper

Telephony Integration: Twilio Media Streams

Deployment: Docker, AWS EC2, Nginx

Authentication: JWT with role-based access (Admin, Supervisor, Agent)

Impact

Reduced Manual Workload: Up to 65% reduction in repetitive manual calling operations.

Improved Scalability: Campaign volume increased without proportional hiring.

Consistent Customer Communication: Better quality and consistency through AI-led flows.

Real-Time Decision Support: Supervisors track KPIs and campaign health through live dashboards.

Client:
Freelance Client
Date:
March 2025 (4 - 5 Months MVP)
Services:
Lead Full-Stack Software Engineer (Architecture, Backend, Frontend, Deployment)