
react

typescript
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.
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.