EnviroWatch: A Comprehensive Environmental Monitoring Web Frame and Cleanup Coordination System Using CNN

EnviroWatch is an innovative web framework designed to address the global challenge of increasing unprocessed waste, with 14 million tons produced annually. The framework utilizes a comprehensive approach to track environmental health, collaborating with governmental and non-governmental entities. Leveraging Data Analytics and real-time monitoring, EnviroWatch facilitates efficient cleanup planning and engagement with communities. Residents can contribute garbage images through an easy-to-use mobile application, which expedites communication with NGOs and the government. The experiment uses a Convolutional Neural Network (CNN) architecture called the Vision Transformer (ViT) model for image recognition. It divides images into patches in order to identify and classify garbage. Government bodies and NGOs can access the platform to gather crucial data and coordinate cleanup initiatives, fostering a collaborative effort toward environmental well-being.