Our project leverages satellite imagery and IoT data to analyze environmental conditions and predict critical factors behind deforestation and air pollution. By integrating advanced machine learning models, we identify the root causes of deforestation and estimate the probability of air pollution in specific regions. The system provides users with detailed summaries and actionable steps to mitigate environmental damage, helping organizations and policymakers make informed decisions. A comprehensive dashboard enables users to monitor changes over time through time-series analysis of satellite images. This feature allows for tracking deforestation patterns and air quality trends, offering a holistic view of environmental changes and their long-term impacts. Our project aims to empower organizations, NGOs, and government agencies with the tools needed to address environmental challenges proactively.