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@article{171578,
        author = {Nagaraja S R and Venkat Deepak J and Ashish S and A Yuvaraja and Siddharth Bej},
        title = {Next-Gen Waste Management Recycling Framework Leveraging AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2585-2591},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171578},
        abstract = {Trashify showcases a paradigm shift in the management of waste, fixing the inefficiencies caused by traditional methods through cutting-edge technology paired with user-centric design. This system has incorporated an AI-enabled chatbot, Tidio, to create a seamless user experience for waste collection and recycling. It uses machine learning and computer vision to help sorting processes in depots and maximize recyclable material recovery. With incentives, gamified engagement, and educational modules, it drives community participation in the advancement of a sustainable way of living. Through real-time monitoring, predictive analytics, and efficient logistical coordination, Trashify minimizes landfill dependency, reduces carbon emissions, and accounts for circular economy principles. Its modular, scalable design ensures adaptability across diverse environments and types of waste and thus promotes its international applicability. This project presents a good example of how innovative technology in conjunction with environmental responsibility promises to give rise to a sustainable and economically viable waste management ecosystem.},
        keywords = {Artificial Intelligent (AI), Internet of Things (IoT).},
        month = {December},
        }