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A telehealth consultation system that leverages WebRTC API and deep-learning enabled techniques to assist and provide better experiences in remote health consultations through video, audio, and data channel communication, real-time medical devices data sharing, speech recognition and explanation of medical terminologies.

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SWE40001-SEPA-Group-42/on-demand-teleheath-platform

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🩺 On-demand telehealth platform

A telehealth consultation system that leverages the WebRTC API and deep-learning enabled techniques to assist and provide better experiences in remote health consultations through video, audio, and data channel communication, real-time medical devices data sharing, speech recognition and explanation of medical terminologies.


  • Unit Code: SWE40001/SWE40002
  • Unit Name: Software Engineering Project A/Software Engineering Project B
  • Project Name: WebRTC-based telehealth platform
  • Group No: 42
  • Project Supervisor: Sheng Wen
  • Client: Dr. Xiao Chen

👩🏻‍💻 Team Members

  • Glaiza Cano, 101419924
  • Edeser III Monserrate, 102079222
  • Thanh Luong Phu Nguyen, 102895392
  • Minh Le Anh Nguyen, 103137309
  • Alexey Maksimets, 102079222
  • Sean Do, 103137309

⚒️ Tools & Technologies

🖥️ Frontend

WebRTC React.js JavaScript

⚙️ Backend

MongoDB Express.js Node.js

Packages installed for redux
  • redux
  • react-redux
  • @reduxjs/toolkit

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A telehealth consultation system that leverages WebRTC API and deep-learning enabled techniques to assist and provide better experiences in remote health consultations through video, audio, and data channel communication, real-time medical devices data sharing, speech recognition and explanation of medical terminologies.

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