Real-Time River Health Monitoring using Custom Dataset, YOLOv8, and Crowdsourced Solutions: A Comprehensive Review/strong>
Authors:-Assistant Professor Mrs. Vandana Navale, Yashi Solanki, Riddhi Khot, Pradnya Nalawade, Aakanksha Wadekar
Abstract-Water pollution is still a global problem, especially in urban waters. The routine process of monitoring water bodies is slow and resource intensive. This paper reviews modern approaches to monitoring water health using proprietary data, deep learning models such as YOLOv8 for pollution detection, and public service centers for initiating cleanup projects. The review describes the collection of user data and examines how the proposed system combines public research with machine learning techniques to develop good and measurable solutions to problems. It also investigates the role of public services in promo ng knowledge and environmental financing.
