Harnessing Artificial Intelligence: Transforming Plastic Waste Management Through Machine Learning

Abstract

Traditional Methods For Handling Plastic Waste Are Struggling To Keep Up With The Increasing Environmental Crisis. Machine Learning And Artificial Intelligence (AI) Can Revolutionize Waste Management By Automating Sorting, Predicting Waste Trends, And Optimizing Recycling Processes. This Article Explores How AI And ML Can Make Our Planet Cleaner And More Sustainable, Addressing The Pressing Environmental Challenge Of Plastic Waste [1]. This Paper Explores How Artificial Intelligence And Machine Learning (ML) Are Revolutionizing Recycling By Improving Waste Classification And Efficiency. AI-powered Systems, Using GPU-driven Image Processing Techniques, Accurately Identify And Categorize Waste Types, Reducing Human Intervention And Increasing The Accuracy And Speed Of Waste Segregation, Thereby Promoting Sustainable Waste Management. AI And ML Are Revolutionizing Plastic Waste Management By Making Recycling Smarter, Reducing Inefficiencies, And Predicting Waste Trends. Well-trained AI Models Can Accurately Classify Waste Into Organic Or Recyclable, Enhancing Efficiency And Sustainability. Future Research Should Focus On Expanding These Models To Handle Diverse Waste Types And Integrating IoT Devices For Real-time Waste Monitoring And Management [2].

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