How do your cognitive learning styles compare to your peers?

This project uses CrewAI to build AI agents that create a personalized learning path based on a user’s goals, knowledge, and learning style. It analyzes input, identifies gaps, finds resources, and presents a structured, goal-oriented plan.

Software for Recommendation of Teaching Strategies based on Learning Styles

Build-a-City is a free interactive game that identifies your VARK learning style not through a questionnaire, but by watching HOW you choose to engage with real professional knowledge.

This project is a Machine Learning-based web application that predicts a student's learning style using input features. It is built using Python and Flask, where the backend processes user input and the trained model (model.pkl) generates predictions. The system provides a simple and interactive interface using HTML and CSS, making it easy for user