Hello Streamlit Community! 
I’m excited to share two projects where Streamlit played a crucial role in bringing ML solutions to life:
- AeroSage - Winner of “Distinguished Applied Solution Showcase” at CV Expo 2024
- Built an aviation maintenance AI solution with Streamlit as the frontend
- Chosen among 516 global submissions at Ready Tensor’s competition
- Streamlit helped create an intuitive interface for maintenance engineers
Project Link: AeroSage: Generative AI for Trusted Aviation Maintenance
- ThoughtScope AI
- Received recognition from unstructured.io in their newsletter
- Deployed on Streamlit Cloud: https://thoughtscope-ai.streamlit.app/
- Demonstrates how Streamlit can power production-ready AI applications
What I love about Streamlit:
- Rapid prototyping to production deployment
- Clean, professional UI without frontend complexity
- Perfect for data-heavy AI applications
- Great community support
Would love to hear your thoughts and feedback on these implementations! Special thanks to the Streamlit team for making it easier to deploy AI solutions.
