The document describes a student profiling system that uses fuzzy logic and neural networks. It proposes using Fuzzy C-means clustering and Adaptive Neuro Fuzzy Inference Systems (ANFIS) on survey data from students to understand their learning capabilities and create rules for a more personalized learning approach. A survey was conducted with 30 students which formed a dataset for the system. Fuzzy C-means clustering and ANFIS were used to analyze the data and generate inferences. The system aims to improve learning effectiveness through customizing learning based on students' cognitive states and skills.