IntellMeet

01. Context & Specifications

Engineered specifically to slash meeting follow-up latency, IntellMeet fuses native browser WebRTC media streams with real-time state management. The ecosystem encapsulates a highly secure authentication core (Access/Refresh token rotation via httpOnly cookies), a deep analytics dashboard featuring CSV reporting exports, a direct team workspace setup, and an integrated task management workflow mapping extracted action items to their parent meeting context.

02. Architecture Pipeline

Unit modeling of the processing and isolation cycle of business data for this project:

[Client React 19 UI] 🛠️ (Zustand State / TanStack Query)
        │
        ├── (Real-time Audio/Video & Chat) ──> [WebRTC Gateway & Socket.io Rooms]
        └── (API Operations) ──> [Express/Node.js Enterprise Router]
                                              │
 [MongoDB / Mongoose Store] <── (Bcrypt & JWT Session Enforcement)
         │
 (Async Processing Layer) ──> [AI Synthesis Engine] ──> [Structured Action Items & Analytics]

03. JWT Session Security & Low-Latency Event Propagation

To guarantee absolute multi-tenant tenant boundary security without triggering expensive session re-verification penalties during minor network drops, the app uses a dual-token system. Long-lived refresh tokens are securely stored in httpOnly cookies to prevent XSS vector leaks, while real-time participants states, chat relays, and active connection handshakes are instantly handled over multiplexed Socket.io events.

// Server-side Socket.io architecture for room event synchronization
import { Server, Socket } from "socket.io";

export function registerRoomHandlers(io: Server, socket: Socket) {
  socket.on("room:join", ({ roomId, userId, userName }) => {
    socket.join(roomId);
    socket.to(roomId).emit("room:user-connected", { userId, userName });

    socket.on("disconnect", () => {
      socket.to(roomId).emit("room:user-disconnected", { userId });
    });
    
    socket.on("chat:message", (message) => {
      io.to(roomId).emit("chat:message-broadcast", { userId, text: message });
    });
  });
}

04. Retrospective & Limitations

>_ Post-deployment engineering notes:Migrating to React 19 and TanStack Query significantly eliminated boilerplate synchronization code in the analytics workspace. The upcoming engineering roadmap includes moving from a basic peer-mesh topology to an isolated SFU (Selective Forwarding Unit) media server to scale room boundaries beyond 50 simultaneous streams without client-side CPU bottlenecking.