Machine IOT

The live machine IOT analytics project involves analyzation of real-time data from various IOT sensors to improve maintenance planning and reliability. The collected data was used to create an interactive dashboard that provided real-time monitoring of sensor values with a sound alert system. The project leveraged machine learning algorithms to predict future machine parameter (sensor) values, thereby allowing for proactive maintenance and an improvement in overall reliability. This not only helped in making data-driven decisions but also ensured that any potential issues could be addressed before they escalated into major problems. The implementation of this project resulted in a more efficient and effective system for monitoring IOT sensors and maintaining their performance.