Green Intelligence: Using AI and Data Science to Predict and Prevent Environmental Pollution

Author(s)	Mr. AKASH N S, Mr. KARTHIKEYAN S A, Mr. MOUNISHHARISUDHAN T
Country	India
Abstract	Green Intelligence applies Artificial Intelligence and Data Science to environmental sustainability. It focuses on predicting and preventing pollution in air, water and soil. Machine learning algorithms help detect patterns in environmental data while deep learning techniques forecast pollution levels accurately. IoT sensors collect real-time data from multiple sources and data analysis supports early detection of pollution risks. The system enables decision-makers to implement preventive actions and reduces response time in managing environmental hazards. Green Intelligence enhances monitoring of industrial emissions and helps optimize natural resource usage for sustainability. Predictive models improve waste management strategies in cities and AI-driven solutions contribute to cleaner and healthier ecosystems. It guides the development of environmentally friendly policies and the integration of AI and IoT fosters smart environmental governance. Green Intelligence paves the way for a sustainable and resilient future.
Keywords	Artificial Intelligence, Data Science, Green Intelligence, Environmental Pollution, Sustainability, Prediction Models.
Field	Engineering
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-01-17
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.66390

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