Abstract— Many operations in the primary sector, such as agriculture, rely on the weather for their success. Traditional weather forecasting technologies are becoming less effective and time consuming as the climate changes at such a rapid rate these days. To address these issues, better and more dedicated weather forecasting procedures are required. It predict an impact on the economy and lives of people in a country. This project's main purpose to emerge a weather prediction system that can be used in remote locations. Data analytics and machine learning approaches such as random forest classifier and Decision tree classifier are used to forecast meteorological conditions. The goal of this research is to build a low-cost, portable weather predicting device.