Overview
ComBridge is a real-time translation platform designed for conferences and lecture environments, where participants can follow a speaker in their own language.
The idea is straightforward: Speaker talks → system captures transcript → translates → participants follow in real time.
The challenge is making this flow fast, stable, and actually usable in a live setting.
How It Works
The system is built around two main flows:
1. Admin (Speaker Panel)
- Speaker logs into the system
- Creates an event
- Selects the spoken language
- A QR code is generated
2. Participant Experience
- Scan the QR code
- Join the event
- Select preferred language
- Follow the talk as live translated text
Technical Approach
The focus in this project was not just “making it work”, but making it work under real conditions:
- Low-latency data flow
- Event-based isolation
- Minimal friction for users
Stack
- Frontend: Next.js
- Deployment: Vercel
- Real-time layer: WebSocket / streaming-based approach
- Translation layer: API-based (balanced between cost and speed)
- State handling: Event-scoped in-memory / cache-oriented design (Redis-style planned)
Key Design Decisions
Event-Based Architecture
Each conference is treated as an isolated “event”.
This allows:
- Clean data separation
- Multiple concurrent sessions
- Clear lifecycle control (start / end / cleanup)
QR-Based Access (Frictionless Entry)
No app install. No account creation.
- Scan
- Join
- Listen
This is especially important in university environments where speed matters.
Real-Time vs Cost Balance
Real-time systems quickly become expensive.
So the system was designed to:
- Minimize redundant translation calls
- Optimize streaming behavior
- Keep everything scoped to the active event
Challenges
This project looks simple on the surface, but isn’t.
Main challenges included:
- Keeping real-time transcript flow stable
- Handling API latency fluctuations
- Syncing live updates on the client
- Managing state in a stateless hosting environment (Vercel)
Current Status
- Core flow is working
- Event creation & joining are stable
- Live translation is functional
- Ready for demo use
Next Steps
- More robust cache layer (Redis / edge-based solutions)
- Optional offline / local transcript support
- Improved mobile UI/UX
- Event recording and replay support
Final Note
For me, this project is more than just a translation tool.
It’s a hands-on exploration of real-time systems, latency trade-offs, and designing something that people can actually use in a live environment.