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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize
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primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in
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