The "Computer Vision-based Waste Identifier" project seeks to transform traditional waste management practices by applying application of advanced technology. By leveraging state-of-the-art image processing and machine learning algorithms, this project addresses the critical challenge of efficiently and accurately segregating recyclable and non-recyclable waste items. The system uses computer vision techniques to identify and classify waste materials, improving the precision of waste sorting and reducing human error. This innovation not only streamlines the recycling process but also contributes to environmental sustainability by enhancing the effectiveness of waste segregation, ultimately reducing landfill waste and promoting the recycling of valuable materials. Through this project, the potential for smarter, more sustainable waste management practices is realized, paving the way for a cleaner and more efficient future