REImu Watch
June 2021
Context
REImu was an IoT project to apply Machine Leaning models to sensor data. I worked with the data outputted form the ML model to create visualisations on a simple dashboard.
Realisation
Using SvelteJS and TailwindCSS for the front-end, I had a simple python script that got called on-demand that regenerated the database with last values.
The charts are made with Apex Charts and got integrated with SvelteJS thanks to data binding.
To keep itself updated, the webpage would periodically fetch the database and looking at the HTTP result code would know if the data where changed. The SvelteJS reactive process worked pretty well, and I didn’t have to think much on how to update the document.
Finally, I wrote an “Export” button to quickly get the data on Excel or any other tool.
Dashboard in action
You can get a Page Screenshot from late June on how the page looked like (no Javascript, just global design)
Also Read
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ETL Search Engine
AyaMe
This tool was made to provide search capacity among ETL-extracted sensor data.
It was using a synoptic parser and a fast-index search library. -
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Phaser web IDE
Phaser Studio
Building a PhaserJS IDE using reactive binding with Svelte and TypeScript object mapping from PhaserJS. The scenes are passed from CustomEvent and listed in Inspector view.
