Real-Time Data Pipeline for Adaptive Learning in Special Education

Our startup focuses on creating adaptive learning tools specifically designed for the special education sector. We aim to develop a robust real-time data pipeline that enables educators to receive and analyze data instantly, thereby tailoring learning experiences to meet the unique needs of each student. This project involves building a data pipeline using Apache Kafka for event streaming and Spark for real-time analytics. The solution will integrate with existing platforms using Snowflake for data warehousing and BigQuery for scalable analytics. Additionally, dbt will be used for data transformations, while Airflow will orchestrate data workflows to ensure seamless operations. The goal is to provide educators with insights into student performance and learning preferences in real time, enabling them to adapt instructional strategies dynamically. This not only enhances the learning outcomes for students with special needs but also equips educators with powerful tools for intervention and support. By deploying this solution, our startup will set a new standard in the special education landscape, where personalized learning becomes a reality.