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Smart Course Builder Using Gen AI

G.SRIKANTH

Assistant Professor Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar,Telangana,India srikanth.gangadhara@jits.ac.in

DR.V.NEELIMA

Associate Professor Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar,Telangana,India

CHOKKARAPU SRILEKHA

UG Student

Dept. of CSE(AI&ML) Jyothishmathi Institute of Technology and Science Karimnagar,Telangana,India srilekhachokkarapu02@gmail.com

VOOTURI VYSHALI

UG Student Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar, Telangana, India vyshalivooturi26@gmail.com

KONDI NIKITHA

UG Student Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar, Telangana, India nikithakondi51@gmail.com

KATTA VISHNUVARDHAN

UG Student Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar, Telangana, India vishnuvardhankatta28@gmail.co m

BHARATH VINOD KUMAR

UG Student Dept. of CSE(AI&ML)

Jyothishmathi Institute of Technology and Science Karimnagar, Telangana, India vinodkumarbharath2@gmail.com

ABSTRACT
The rapid growth of online education has increased the demand for flexible, personalized, and well-structured learning content. However, designing a complete course manually requires significant time, expertise, and continuous effort from educators. To address this challenge, this paper presents a Smart Course Builder Using Generative Artificial Intelligence, a web-based system that automatically generates complete courses based on user requirements. The proposed system collects inputs such as course topic, difficulty level, number of modules, learning duration, teaching style, and learner profile. Using Generative AI and Natural Language Processing techniques, the system produces structured learning objectives, detailed module content, summaries, revision notes, and recommended learning resources. The platform is implemented using Streamlit for the user interface and Python for backend logic, while a Generative AI model is used for intelligent content generation. The system supports personalization, reduces manual workload, and improves accessibility to quality learning material. Experimental evaluation using different course domains demonstrates that the system can generate meaningful, easy-to-understand, and well- organized course content. The results indicate that Generative AI can effectively support automated course creation and personalized learning in modern educational environments.

Index Terms— Generative Artificial Intelligence, Course Generation, Personalized Learning, Educational Technology, Natural Language  Processing, E-Learning Systems