For example, farming is one of many fundamental sectors whose activities are dependent on the weather. The current climate is changing dramatically, making it more difficult and less accurate to anticipate the weather using traditional approaches. Improved and trustworthy weather forecast techniques are needed to get beyond these obstacles. The economics and quality of life of a country are impacted by these forecasts. The primary driving force behind this study is to create a weather forecasting system that may be utilised in remote locations. To forecast weather, data analytics and machine learning methods like random forest classification are used. In this paper, a portable, low-cost weather forecasting system is developed. final year project is based on IEEE Paper.this will be one of the best Final year engineering project for computer science. Components that we will provide are.
1.complete documentation support
2.complete working hardware/software implemented in students environment
3.classes will held accordingly.