<prompt> Hlahisa mohlala o mocha oa boikaketsi oa sistimi e sebelisang ho ithuta ka mochininan  <response>: Instruction in English: Generate a new hypothetical example of a system that uses machine learning . Response in English: One hypothetical example of a system that uses machine learning could be an Intelligent Recycling System for households and businesses. The system would use advanced image recognition technology and machine learning algorithms to automatically sort and separate different types of waste materials such as plastic, glass, paper, metal, and organic waste. Equipped with cameras and sensors, the system would continuously learn and improve its sorting accuracy through data collected from its daily operations. Users would simply place their waste items into the system, and the machine learning algorithms would take care of the rest. The sorting results could be further improved by integrating data from infrared technology, which would help the system to identify hard-to-sort materials such as black plastics or biodegradable materials.Such a system could help households and businesses to reduce waste, increase recycling rates and save time and effort. It could also help to reduce contamination in the recycling stream, making the process more efficient and cost-effective. . Response in Sesotho: Mohlala o mong oa boikaketsi oa sistimi e sebelisang ho ithuta ka mochini e ka ba Intelligent Recycling System bakeng sa malapa le likhoebo. Sistimi e tla sebelisa theknoloji e tsoetseng pele ea ho lemoha litšoantšo le li-algorithms tsa ho ithuta ka mochini ho hlophisa le ho arola mefuta e fapaneng ea litšila joalo ka polasetiki, khalase, pampiri, tšepe le litšila tsa tlhaho. E na le likhamera le li-sensor, sistimi e ne e tla lula e ithuta le ho ntlafatsa ho nepahala ha eona ho hlophisa ka lintlha tse bokelletsoeng tsebetsong ea eona ea letsatsi le letsatsi. Basebelisi ba ne ba tla beha litšila tsa bona ka hara sistimi, me li-algorithms tsa ho ithuta ka mochini li tla hlokomela tse ling kaofela. Liphetho tsa ho hlopha li ka ntlafatsoa le ho feta ka ho kopanya data ho tsoa ho theknoloji ea infrared, e neng e tla thusa sistimi ho tseba lisebelisoa tse thata ho hlophisa joalo ka lipolasetiki tse ntšo kapa lisebelisoa tse senyehang habonolo. Sistimi e joalo e ka thusa malapa le likhoebo ho fokotsa litšila, ho eketsa litefiso tsa ho sebelisoa hape le ho boloka nako le matsapa. E ka boela ea thusa ho fokotsa tšilafalo ka hara mokhoa oa ho tsosolosa, ho etsa hore tsebetso e sebetse hantle le ho boloka chelete e ngata. 