Websites and deployments¶
This blog lists the ML apps and websites that I have built and are publicly accessible.
Python ML deployments¶
- Predicting PM25 pollution in Hyderabad using flask and SqlAlchemy: Using Flask, PostgreSQL, GitHub Actions and ElephantDB to make predictions using an ML model, store and extract these predictions, and display on a web app. (Blog posts 1, 2, 3)
- Streamlit for deployment: Using Streamlit to deploy simple data science models and insights. (Project: Bid allocation model)
- OC And Gym Dashboard: Churn dashboard showing the effect of different decisions that the business can take.
- Contest Insights Dashboard: Dashboard for allocating different contests as part of a company's Rewards programme. (Project IIMB Project)