Machine Learning based Object Detection to Protect Marine Ecosystem

The majority of the earth's water bodies are currently contaminated. This occurs primarily as a result of massive amounts of waste being dumped into it. The majority of the garbage is made up of toxic materials, non-biodegradable materials, and e-waste, which severely harms the marine ecosystem. Additionally, it causes the loss of human life as a result of natural disasters. It ceases throwing this waste into the water bodies in order to solve these issues and keep them tidy and clean. If it can't be done, it would be better to start the cleaning process, which involves getting rid of these kinds of things. The study will be crucial in resolving this issue through the use of some machine learning techniques, including image classification and image recognition. Here, sizable collection of related e-waste image datasets is used to train the model in this procedure. Further, the machine will begin recognizing it so that it can be distinguished from the water bodies. Since the use of these kinds of procedures will make nature more environment friendly. In the end, it promotes economic expansion and sustainable development.