Hi everyone 
,
I’d like to share a personal project built entirely with Streamlit, aimed at showcasing how the framework can be used for practical, end-user–friendly analytics applications.
Main site: https://mlradu.com
What’s included:
-
Machine Learning: 12 interactive ML apps, each focused on a specific business use case — designed for demos, learning, and exploration. -
Clinical Data Analysis: An app for exploring patient-level and cohort-level clinical data across multiple dimensions. -
Clinical Trial Analytics: A realistic, end-to-end clinical trial analytics workflow built on synthetic data, reflecting SAP and regulatory-style analysis. -
SQL Playground: An interactive SQL practice environment for aspiring data scientists to learn and test SELECTqueries with immediate feedback.
The project is meant to demonstrate how Streamlit supports rapid prototyping, interactive learning, and real-world analytical workflows, from simple tools to more structured applications.
Sharing this mainly as an example and source of inspiration — happy to discuss implementation details or design choices if useful.
Thanks!