To analyze the current practices and challenges in biomedical waste tracking and disposal in healthcare facilities.
To explore the potential benefits and limitations of integrating artificial intelligence in improving biomedical waste management.
To develop a prototype system for tracking and disposal of biomedical waste using artificial intelligence technology.
To evaluate the effectiveness and feasibility of the AI-based system in enhancing the efficiency and sustainability of biomedical waste management in healthcare settings.
Conduct a literature review on the existing methodologies and technologies used in biomedical waste management.
Identify the key issues and challenges in the current practices of biomedical waste tracking and disposal.
Examine the potential applications of artificial intelligence in optimizing biomedical waste management processes.
Design and implement a prototype system for tracking and disposal of biomedical waste using AI algorithms.
Evaluate the performance of the AI-based system in terms of efficiency, accuracy, and effectiveness in a hospital setting.
Prepare a research report summarizing the findings, conclusions, and recommendations for integrating artificial intelligence in biomedical waste management in healthcare facilities.
