Abstract

Waste management and recycling are pressing global challenges due to rapid urbanization and industrialization. Traditional waste handling methods are often inefficient and unsustainable. The integration of Artificial Intelligence (AI) into waste management systems has the potential to revolutionize how waste is collected, sorted, processed, and recycled. This paper discusses the development and implementation of AI algorithms aimed at improving the efficiency of waste management and recycling processes. Emphasis is placed on image recognition for waste sorting, route optimization for collection, and predictive analytics for waste generation forecasting. The study also explores real-world applications and evaluates the performance and impact of AI-driven systems.