KRules: Empowering IoT Platforms with Advanced Automation and Rule-Based Intelligence

Design and development of a software module for Thingsboard IoT platform for improved data interoperabilityThe objective of my thesis is to enhance the existing IoT platform, specifically the ThingsBoard IoT platform, by automating certain actions and offering advanced services. The IoT segment is rapidly expanding due to the widespread use of IoT devices, which have impacted various fields including healthcare, industrial sector, home automation, environmental monitoring, and retail. The capture of data by IoT devices allows for separate analytics based on the collected data, making life easier across different sectors. However, my focus is on improving the ThingsBoard platform by incorporating a subset of rulesets in the form of Python data structures. This will be achieved by implementing KRule, which is a useful tool for automating actions and improving the functionality of the platform.