Smart Environmental Monitoring with Blockchain Audit and ML Forecasting

Authors: Rokade P. P, Abhale. B. A, Hengade Swapnil, Pagar Yogesh, Miss. Thombare Nilam, Miss. Shivani Malusare

Country: India

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Abstract: Environmental pollution and climate change have become critical global challenges, requiring accurate, secure, and real-time monitoring solutions. This paper presents a Smart Environmental Monitoring System that integrates Internet of Things (IoT) sensors, blockchain technology, and machine learning (ML) to provide a reliable and intelligent platform for environmental analysis. The proposed system continuously collects environmental parameters such as air quality, temperature, humidity, and sunlight intensity using IoT-based sensors. The collected data is securely stored using blockchain technology, ensuring data integrity, transparency, and protection against tampering. To enhance decision-making, machine learning algorithms are applied to analyze both real-time and historical data, enabling the prediction of environmental trends such as air pollution levels and climate variations. The system also provides a user-friendly dashboard for visualization, alerts, and reporting, helping authorities and individuals take preventive actions. By combining secure data management with intelligent forecasting, the proposed solution offers an efficient and scalable approach for environmental monitoring and sustainable development.

Keywords: Environmental Monitoring, IoT Sensors, Blockchain, Machine Learning, Air Quality Prediction, Smart Systems, Data Security, Forecasting.

Paper Id: 233123

Published On: 2026-05-21

Published In: Volume 14, Issue 3, May-June 2026

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