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Research & Reviews : Journal of Space Science & Technology Review Article

Smart Weather Monitoring and Forecasting System Using Machine Learning (ML)

  1. Pushkar Nitin Bramhankar Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune
  2. Mahadev Dattatray Metgar Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune
  3. Kshitij Ajit Konde Deshmukh Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune
  4. S.D. Mali Department of Electronics & Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Pune

Abstract

The Smart Weather Monitoring System & Forecasting using Machine Learning (ML) represents an innovative approach to modern weather prediction and monitoring. This system combines the capabilities of machine learning algorithms with vast sets of weather data to provide accurate and timely weather forecasts. By collecting and analyzing data points like temperature, humidity, light intensity, rainfall, and atmospheric pressure, the system can generate precise predictions for a wide range of applications. Whether it's aiding in agriculture, improving transportation safety, enhancing disaster management, or simply helping individuals plan their daily activities, this ML-driven weather monitoring system offers a data-driven solution for reliable weather information. This abstract outline the core principles and benefits of this advanced system, highlighting its importance in today's data-driven world.

Keywords

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