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Weather Prediction using Machine Learning and IOT
Gopinath N1, Vinodh S2, Prashanth P3, Jayasuriya A4, Deasione S5

1Gopinath N*, Assistant Professor, Dept. of CSE, Sri Manakula Vinayagar Engineering College, Puducherry, India.
2Vinodh S, Student, Dept. of CSE, Sri Manakula Vinayagar Engineering College, Puducherry, India.
3Prashanth P, Student, Dept. of CSE, Sri Manakula Vinayagar Engineering College, Puducherry, India.
4Jayasuriya A, Student, Dept. of CSE, Sri Manakula Vinayagar Engineering College, Puducherry, India.
5Deasione S, Student, Dept. of CSE, Sri Manakula Vinayagar Engineering College, Puducherry, India.

Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2094-2098 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9130049420/2020©BEIESP | DOI: 10.35940/ijeat.D9130.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This project proposes a method for forecasting weather conditions and predicting rainfall by means of machine learning. Here, there are two set ups: one, to measure the weather parameters like temperature, humidity using sensors along with Arduino and another set up, to display the current values(status) and predicted rainfall based on the trained machine learning data sets. The weather forecasting and prediction is done based on the older datasets collected and compared with the current values. The user need not have a backup of huge data to predict the rainfall. Instead a machine learning algorithm can suffice the same. The temperature, humidity sensor modules are used to measure weather parameters and interfaced to an Arduino controller. The proposed setup will compare the forecast value with real-time data, and the predict rainfall based on the dataset fed to the machine learning algorithm.
Keywords: Arduino, Humidity sensor, Machine Learning, Temperature.