Systems for e-learning are now an essential component of the educational system. By facilitating efficient and effective content-based learning, technology in the classroom helps students feel more confident. Curriculum is developed in line with learners' ability and background knowledge, with customised learning methods placing a strong focus on learning behaviour and interest. It is a versatile method of instruction that may be modified to meet the needs of each learner. The individualised learning plan meets all of the demands of each student. This study provides an effective way for designing a personalised e-learning system. Artificial intelligence-based systems adjust to the needs of each student individually to increase the efficacy of the online learning system. This is an adjustable e-learning platform that works with the learner's diverse learning needs. Through research that integrates data mining techniques, artificial neural networks, fuzzy logic, and adaptive neurofuzzy systems, an interactive, customised e-learning system is being created.

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Keywords: NeuroFuzzy System, Artificial Neural Network, Fuzzy Logic, e-Learning.

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