Weather Prediction Using Machine Learning
The Project
The Smart Weather Station is a device designed to measure and record atmospheric conditions such as temperature, humidity, pressure, and rainfall. The data collected helps in analyzing weather patterns and forecasting future conditions. The system uses sensors connected to a microcontroller (like Arduino, Raspberry Pi, or ESP32) and displays real-time data on a digital screen. Optionally, the station can also upload the data to a cloud server for remote monitoring.
About the team
Team members
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