Tracking Airplane Carbon Emission

"TACE: Tracking Airplane Carbon Emission" represents a groundbreaking achievement in the realm of Big Data Analytics. This project involved the creation of a comprehensive web application that empowers users with real-time information about airplane carbon emissions for their selected routes. To accomplish this, we harnessed the robust capabilities of PySpark for efficient data processing, implementing batch processing techniques, and seamlessly integrated the processed data into a database. Through a well-crafted API, we bridged the gap between the database's rich content and a user-friendly interface developed with RedwoodJS, ensuring that users could effortlessly access and comprehend carbon emission data. Furthermore, TACE doesn't stop at providing information; it goes a step further by incorporating a machine learning model capable of predicting emissions generated by potential airports based on city or town populations. Our skillful use of tools such as Dataproc, Prisma, GraphQL, and PostgreSQL, combined with our commitment to sustainability, underscores the success of TACE as a powerful and insightful resource for those concerned about the environmental impact of air travel.