1 Department of Applied Mathematics (Data Science) Defence Institute of Advanced Technology (DIAT), Pune, India.
2 Department of Applied Mathematics, Defence Institute of Advanced Technology (DIAT), Pune, India.
International Journal of Science and Research Archive, 2025, 15(02), 706-711
Article DOI: 10.30574/ijsra.2025.15.2.1394
Received on 01 April 2025; revised on 11 May 2025; accepted on 14 May 2025
This paper presents a serverless data processing architecture designed for real-time weather forecasting using Google Cloud Functions, BigQuery, and integrated machine learning models. The system enables scalable ingestion of weather data, efficient storage, and dynamic visualization through an interactive dashboard. In addition to predictive analytics for temperature, AQI, and humidity, the system includes cost opti- mization techniques and real-time alerts. This work highlights the benefits of serverless computing for data-intensive applications and offers a practical, low-latency solution suitable for smart city and environmental monitoring use cases.
Serverless Computing; Google Cloud Platform; Cloud Functions; BigQuery; Machine Learning; Weather Fore- casting; Real-time Dashboard; Cost Optimization
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Dhananjay Adikane and Dr. Odelu Ojjela. Serverless data processing and forecasting system using cloud computing. International Journal of Science and Research Archive, 2025, 15(02), 706-711. Article DOI: https://doi.org/10.30574/ijsra.2025.15.2.1394.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
