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primary sector operations, such as farming, are dependent this weather for productivity. Because the climate is changing at such a rapid rate these days, traditional weather forecast systems are becoming less effective and more time consuming. Improved and dependable weather forecast technologies are necessary to solve these challenges. These forecasts have an impact on a country's economy and people's lives. The major goal of this project is to create a weather forecasting system that can be used in remote places. To forecast weather conditions, data analytics and the machine learning techniques like as random forest classifications is mainly used here. The study recomends a low--cost, portable of weather forecasting systems.