Real-Time Student Engagement Analytics Platform

The project focuses on developing a real-time analytics platform dedicated to improving student engagement and learning outcomes. Our company, a leader in the Education & EdTech industry, recognizes the critical need to harness data for enhancing educational experiences. By integrating technologies such as Apache Kafka for event streaming, Spark for large-scale data processing, and Snowflake for data warehousing, the platform will consolidate data from learning management systems, student information systems, and other educational tools. The goal is to provide educators and administrators with real-time insights into student behaviors, performance trends, and engagement levels. This will enable timely interventions and personalized learning paths. Additionally, the project will incorporate MLOps practices to ensure that machine learning models can be efficiently deployed and maintained, offering predictive analytics to forecast student success and retention. The initiative aims to position the company as a market leader in data-driven education, empowering institutions to make informed decisions that drive educational success.