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Technologies:

Javadi

Javadi is an AI-powered multi-tenant clinic communication platform that automates patient calls, handles inquiries, identifies urgency, and provides real-time call insights through a centralized dashboard.

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AI Voice Call Management – Automatically handles inbound patient calls using AI-powered voice interactions.

Patient Inquiry Management – Captures patient information, appointment requests, and inquiry details.

Urgency Detection – Classifies calls based on urgency to help clinics prioritize critical cases.

Real-Time Dashboard – Provides live call details, summaries, notifications, and actionable information.

Multi-Tenant SaaS – Supports multiple clinics from a centralized Super Admin platform.

White-Label Branding – Allows each clinic to use its own logo, colors, theme, and branded environment.

Automatic Subdomain Provisioning – Creates dedicated clinic environments automatically.

Workflow Automation – Uses AI and automated workflows to streamline clinic communication.

Role-Based Access – Secure access management for administrators and clinic users.

Scalable Architecture – Built for cloud-based, scalable healthcare operations.

Technology Stack

Frontend

Frameworks: Next.js, TypeScript.

UI Development: Custom Dashboard Components.

Real-Time Updates: WebSocket-Based Dashboard Synchronization.

Multi-Tenant Branding Engine.

Responsive Web Application.

Back-End

Frameworks: NestJS.

API Architecture: REST APIs.

Authentication & Authorization: Role-Based Access Control (RBAC).

Multi-Tenant Management System.

Real-Time Event Processing.

AI & Communication Layer

AI Models: OpenAI.

Voice Communication: Twilio Voice.

Workflow Automation: N8N.

Call Classification & Urgency Detection.

Automated Patient Inquiry Handling.

Real-Time Dashboard Notifications

SaaS & Infrastructure

Multi-Tenant Architecture.

White-Label Branding System.

Automatic Subdomain Provisioning.

Tenant Configuration Management.

Centralized Super Admin Portal.

Scalable Cloud-Based Deployment.

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