👉 This comprehensive project aims to develop an advanced, AI-driven environmental monitoring system designed to track and predict ecological changes in real-time. Utilizing a combination of IoT sensors, machine learning algorithms, and cloud computing, the system will continuously collect data on air quality, water purity, soil health, and biodiversity from various ecosystems. It will analyze this data to identify patterns and anomalies, providing actionable insights for environmental conservationists, policymakers, and local communities. The project will also include a user-friendly dashboard for easy data visualization and alerts for critical changes, enabling proactive measures to mitigate environmental risks and promote sustainable practices.
