Shiny running Python models

Context summary

The company has built a battery degradation prediction model in Python language. ThinkR was contacted to develop the Shiny interface for entering the many parameters (about a hundred) and deploy the software in production to a commercial audience (several dozen).

Our intervention

• Development of the Shiny application in interaction with Python (hundred of parameters)
• Implementation of a Docker and Shinyproxy infrastructure for AWS deployment
• User authentication and session persistency

Result & added value

• Internal deployment of a user-oriented application for an authenticated audience