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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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project activities include formulating and fabricating functional sponges, optimizing the filtration process using modelling, conducting system characterisation and preparing research papers for publication
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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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against others who have applied. Applicants may be required to attend an interview as part of the selection process. Introduction Established in 2021 by an annual contribution from Australian Banana Growers