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This project demonstrates a data pipeline using Snowflake, Google Cloud Storage (GCS), and Pub/Sub for loading data incrementally into Snowflake tables. The pipeline is triggered by new files arriving in a specified GCS bucket, notifying Snowflake through Pub/Sub, and subsequently updating tables in Snowflake.
Built for the 1st AI for Good Hackathon by Snowflake, this project uses data analytics and AI to explore housing and sanitation trends in India under PMAY. Using Snowflake and Streamlit, it provides interactive insights into regional disparities, helping guide sustainable infrastructure development.