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  • AI
  • NLP

Multilingual Real-Time Conferencing System

A real-time communication platform enabling seamless global collaboration across languages.

Overview

A WebSocket-based meeting layer carries low-latency audio and video, while a live translation pipeline converts speech between languages as the conversation happens — so participants speak their own language and still follow each other in real time.

Problem Statement

Video conferencing assumes everyone in the call shares a language. In multilingual teams and classrooms, participants either switch to a language they are weak in or lose half the discussion.

Proposed Solution

Insert a speech recognition and translation stage between capture and playback, so each participant hears or reads the conversation in their own language with minimal added latency.

Key Features

  • WebSocket-Based Meeting Infrastructure

    Low-latency real-time audio/video connectivity.

  • Live Speech Translation

    Real-time translation between multiple spoken languages.

Technologies Used

Real-time

  • WebRTC
  • WebSockets
  • Socket.IO
  • Node.js

AI / NLP

  • Speech-to-text
  • Neural machine translation
  • Text-to-speech

Application

  • React
  • Express
  • Redis

Project Workflow

  1. 1

    Session join

    Participants connect to a meeting room over WebSockets.

  2. 2

    Speech capture

    Audio streams are captured and chunked for recognition.

  3. 3

    Transcription

    Speech is converted to text in the speaker's language.

  4. 4

    Translation

    Text is translated into each listener's chosen language.

  5. 5

    Delivery

    Translated captions or synthesised speech reach participants live.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

Want This Project?

Get complete source code, documentation, PPT, explanation, and support.

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