EcoSense is a revolutionary IoT-based environmental monitoring system designed to track, analyze, and predict air and water quality in real time. The project integrates low-cost sensors, AI-driven data analytics, and cloud storage to offer accurate environmental insights for communities and organizations. Unlike traditional bulky systems, EcoSense is lightweight, portable, and highly scalable.

The system gathers data on air pollutants (such as carbon monoxide, nitrogen oxides, and particulate matter) and water contaminants (pH levels, dissolved oxygen, and toxins) through distributed sensor nodes. This data is processed using advanced machine learning models to provide meaningful insights, including pollution hotspots and future trends. Users can access this information through a mobile app that offers alerts, data visualization, and actionable recommendations for a healthier environment.