AI-Driven Learning Tutor

AI-Driven Learning Tutor

Dr. Smita Attarde1, Shreya Shetty2, Om Ghugare3, Sumit Upadhyay4, and Vaibhav Jha5

 1Senior Professor, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra

 2Dept. of Computer, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra

3Dept. of Computer, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra

4Dept. of Computer, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra

5Dept. of Computer, Lokmanya Tilak College of Engineering, Navi Mumbai, Maharashtra

Abstract— This paper focuses on creating an AI tutor that aids an intern’s learning in both front- end and back-end development. Within the system, several modules have been integrated to provide personalized learning paths, adaptive work assignments, and immediate task feedback. Each component is enforced by proprietary, in- house developed, and trained, machine learning models that enable autonomy over task suggestions and mistake spotting. The tutor uses a user-friendly dashboard for managing user profiles, a task recommendation system, a deep learning-enabled code editor, and an AI chatbot that facilitates client support 24/7. A pilot study on 20 interns showed a 25% increase in task fulfillment and a 30% decline in time spent on debugging, thus confirming self-trained models’ efficiency in transforming the learning process.

Keywords – AI Tutor, Coding Education, Supervised Learning, Deep Learning, Decision Trees, Convolutional Neural Networks, Task

Recommendation Systems, Personalized Learning, Intern Training, Educational Technology, Learning Analytics, Programming Education, Code Error Detection, AI-Driven Feedback.