Development of a big data model for Internet of Things applications

Project Manager: Tusupov Akhmet Dzhamalbekovich

Funding Source: Internal Grant

Project Goal: The goal of our project to develop a big data model for IoT applications in meteorology is to forecast the weather based on historical data using IoT technology, machine learning and working with big data.

Year of implementation: 2024

Partners: Astana IT University

Funding Amount: 1,000,000 tenge

Results for 2024:

Researched and identified the most effective machine learning algorithms for forecasting various meteorological indicators.
Developed our own Internet of Things station, which allows us to test the integration of modern machine and deep learning technologies with real meteorological data.
The results of our project confirmed that the integration of machine learning and Internet of Things technologies in meteorology opens up new prospects for improving the accuracy of forecasts and the efficiency of data management.

Students: Eslyamova G. ST-2102., Yesibekov Z. ST-2102., Bugatayev S. ST-2102.