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We propose to develop a fluorescent carbon dots-based nanosensor for determining concentration of heavy metal ions in liquid multicomponent media using neural networks. The developed sensor enables simultaneous determination of Cu2+, Ni2+, Cr3+ ions’ concentrations with root mean squared errors of 0.28 mM, 0.79 mM, 0.24 mM respectively. This nanosensor's accuracy indicates its potential for controlling waste, technological, waters composition.