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August 17, 2025bit-TechOpen Access

Optimizing Artificial Intelligence-Based Waste Bank Management

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This study demonstrates significant enhancements in waste management using AI, suggesting solutions for operational challenges.

Transaction efficiency increased by 75% with AI integration, showcasing the system's effectiveness in operational tasks.
The study found a 60% reduction in classification errors, emphasizing the reliability of AI classification systems.
Using a mixed method approach, insights were gathered from five waste banks, yielding robust qualitative and quantitative data.
Implementation challenges like limited digital literacy and infrastructure gaps highlight the need for targeted training programs.

Eriana et al. (2025) studied this question.

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