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@article{191831,
        author = {Janvi Agarwal and Nishita Jain},
        title = {AI-Powered Waste Segregation System for Sustainable Smart Cities},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {173-175},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191831},
        abstract = {Urban waste management has become a major challenge due to rapid urbanization and population growth. Improper waste segregation leads to environmental degradation, pollution, and inefficient recycling. This paper presents a conceptual model of an AI-powered waste segregation system designed to enhance sustainability in smart cities. The proposed system uses artificial intelligence techniques—such as image recognition, machine learning, and data analytic—to automatically classify and separate waste into categories like biodegradable, recyclable, and hazardous. This approach aims to reduce human effort, improve accuracy in waste management, and contribute to cleaner, smarter, and more sustainable urban environments.},
        keywords = {Artificial Intelligence, Smart Cities, Waste Management, Machine Learning, Sustainability, Image Recognition},
        month = {},
        }