An Automated System with Deep Learning Technique for Posting Water-Related Issues

Water-related challenges such as urban flooding, water clogging in cities, and water waste management are significant issues. In India, different regions face distinct water problems. Coastal areas are dealing with deteriorating water quality in rivers and coastal waters, while urban areas encounter drainage problems, especially during the monsoon seasons. Historically, these problems were addressed reactively, with local administration involvement and manual data collection due to the absence of a web application. However, transitioning to a web-enabled system comes with numerous benefits, one of which is the ability to generate real-time reporting, centralized data collection, and proactive issue management. To achieve this, deep learning methods, particularly convolutional neural networks (CNNs), have been leveraged. The system has achieved an impressive 92% accuracy in categorizing reported problems and delivering solutions through a web interface. This analysis showcases the effectiveness of these techniques in promptly identifying and managing diverse water-related issues prevalent across different regions.