• Pradnya Talekar
• Shubhangi Kharche
• Pranjal Thakur
• Jinendr Poojary
• Rithik Patil

Nowadays, sensors play an important role in our day-today lives. But analyzing the data has always been a vital and precarious part. The work on ‘Data analysis of sensors’ revolves around the concept of analyzing and studying the data obtained from the sensors. The sensors are continuously picking up new data from their surroundings and this data needs to be organized. During this work, real time sensor data was provided by the industry and two goals were achieved. The first one being analyzing the performance of a sensor in a particular period. Each of the cloud devices and the sensorsthat were used in them were categorized using Power BI software. The second goal was to predict the future problems. Two prediction models were used in the work, namely; Random Forestand Linear Regression model, which fit the data appropriately. Random Forest model gave a mean square error of 4.91% while Linear Regression model gave a mean square error of 3.84%. This analysis was made available to the supervising team by integrating it with our designed website. The analysis available on the website canbe accessed by anyone with a valid username and a password and also can get alerts in case something goes wrong. Through this work, we carefully examined and visualized the data procured by the sensorand predicted the future problems. As we used AI/ML models and a visualization software, human error was eliminated while monitoring the sensors. More importantly, it automates typical, boring, and routine jobs that were once completed by humans, which boostsproductivity even more, and enhances real-time management of essential machine failure. The two models used for prediction improved the model's effectiveness and produced a mean square error of 0.9%

"VISUALIZATION AND PREDICTION OF REAL-TIME SENSOR DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.a578-a583, July-2023, Available :http://www.jetir.org/papers/JETIR2307070.pdf

"VISUALIZATION AND PREDICTION OF REAL-TIME SENSOR DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppa578-a583, July-2023, Available at : http://www.jetir.org/papers/JETIR2307070.pdf