Description
Creation of a platform to visualise thousands of images scrapped from Instagram. The pictures are then processed through the tSNE algorithm to extract features and put them on a 2D space so they can be explored visually.
On top of positioning the images in the browser, they could be filtered by likes, comments, dates etc …
Technologies
The frontend was javascript using WebGL to create the 3D rendering in the browser.
What did I do?
I am implementing the frontend interface of the application, which involved:
- Positioning of 1000s of images while keeping the application quick and responsive
- Implementing the design from specifications
- Implementing the filtering functionalities
Period
2018 - Current
The application was presented in Vivatech in 2019 and get some coverage:
- L’Oréal peut identifier rapidement les tendances beauté sur instagram grâce à cet outil
- L’Oréal plonge dans le web Instagram avec cet outil
How can I help?
Whether you already know about your data pain points or just want to have a friendly conversation, send me a message.
