https://github.com/iakashpaul/tardis-agora
AngelHack 2019 - Tardis - Agora Challenge Winners 🏆
https://github.com/iakashpaul/tardis-agora
agoraio tensorflowjs
Last synced: 3 months ago
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AngelHack 2019 - Tardis - Agora Challenge Winners 🏆
- Host: GitHub
- URL: https://github.com/iakashpaul/tardis-agora
- Owner: iakashpaul
- License: mit
- Created: 2019-06-08T06:05:42.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2021-02-28T14:18:06.000Z (over 4 years ago)
- Last Synced: 2025-01-18T18:51:42.350Z (5 months ago)
- Topics: agoraio, tensorflowjs
- Language: JavaScript
- Homepage:
- Size: 458 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
#  AVATAR TARDIS | Agora.io Challenge
## About
We've used Agora.io stack to help people learn, instruct others & participate in immersive AR experiences without requiring costly hardware & delivered via a webpage for PC/Android browsers. Selling hosting & add-ons would be another way for developers to create more use cases with our product by incorporating human pose detection data which is being performed on the device itself
- Youtube: [https://www.youtube.com/watch?v=Q110FkMHEJQ](https://www.youtube.com/watch?v=Q110FkMHEJQ)
- Github: [https://github.com/iakashpaul/tardis-agora](https://github.com/iakashpaul/tardis-agora)
- Demo: [https://tardis-agora.surge.sh](https://tardis-agora.surge.sh)
## Steps to run
- Clone this repo & cd into it
- Install node.js & run, `npm install --global surge`
- Run, `surge`& provide a domain of your choosing
- Voila, it is going to be hosted at your subdomain on surge.sh, visit it over https
## Modules used
- Agora.io, [Token Server for Agora](https://github.com/AgoraIO-Community/TokenServer-nodejs) on heroku at [https://tardis-demo.herokuapp.com/access_token?channel=test&uid=1234](https://tardis-demo.herokuapp.com/access_token?channel=test&uid=1234)
- TensorFlow.js, [PoseNet Model for realtime human pose detection](https://github.com/ml5js/ml5-examples/tree/release/javascript/PoseNet)
- Materializecss for themeing, jQuery for helping with JS.
# Media
[](https://www.youtube.com/watch?v=Q110FkMHEJQ)