https://github.com/cuuupid/feedbacker

Gauges audience emotional reaction in real-time. Won best newcomer hack at Imperial College Hack 2018. :ghost:
https://github.com/cuuupid/feedbacker

emotion-recognition hackathon machine-learning nlu presentation slides socket-io

Last synced: 19 days ago
JSON representation

Gauges audience emotional reaction in real-time. Won best newcomer hack at Imperial College Hack 2018. :ghost:

• Host: GitHub
• URL: https://github.com/cuuupid/feedbacker
• Owner: cuuupid
• Created: 2018-01-27T10:44:49.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-11T22:43:39.000Z (almost 7 years ago)
• Last Synced: 2024-10-30T02:48:01.030Z (2 months ago)
• Topics: emotion-recognition, hackathon, machine-learning, nlu, presentation, slides, socket-io
• Language: HTML
• Homepage:
• Size: 486 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# ICHack18

Code for Imperial College London Hackathon 2018

## Tech Used

- NLP/NLU (RASA NLU as seen in `skill-nlp/`)

- OpenCV for getting webcam data

- React Native for Mobile app

- Microsoft Cognitive Services - Emotion API for emotion classification

- Microsoft Custom Vision for applause detection (crowd-only)

- WebRTC (Socket.io) for creating the deck + tracker pairing where we can control the presentation

- We originally used Vue but reformatted to use straight JS + HTML (with fetch api) to reduce latency for HTML pages

- Bootstrap verson of "google forms" to prove our api is usable

- Sanic framework with Python for async web servers

- MongoDB for storage + MongoClient in Node.js

- Express.JS for js apis

- + some more! If you'd like more information please come by and ask us, we'd be more than happy to go into the specifics of our tech.