Using MongoDB, Kafka and Spark to Build Infrastructure for India’s First Affordable Smart-Homes Project`, Gautam Rege, outlines the challenges of building scalable infrastructure for a smart home project in Sheltrex, India, where over 100,000 people will live in affordable homes with real-time data streaming from millions of sensors. To overcome these challenges, the team uses Apache Kafka to process and stream sensor data in near real-time, Apache Spark for data processing and aggregation, and MongoDB as the primary database for storage and access. The combination of these technologies creates a resilient, scalable, and powerful big data pipeline without the complexity inherent in other distributed streaming and database environments. The project aims to demonstrate the potential of smart township technologies and create a model for affordable intelligent housing that can be replicated globally.