IoT and ML-Based Weather Prediction

October 2022—October 2023

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This project is a fusion of embedded IoT technology and machine learning aimed at improving weather forecasting accuracy. A network of environmental sensors collects real-time data on temperature, humidity, atmospheric pressure, and more. This data is then processed through a series of ML models, including ensemble techniques, to generate short-term and medium-range weather predictions. The system is designed for continuous data collection and real-time processing, making it suitable for smart agriculture, city planning, and environmental monitoring. The modular architecture allows it to be deployed in diverse geographical regions with minimal adjustments.