AI-Assisted Learning Path Generator for Competitive Programming

Placement preparation and career readiness remain major challenges for undergraduate engineering students in India. Traditional learning platforms provide static content without personalized guidance for technical and aptitude preparation. This paper proposes an AI-powered personalized learning platform built with Django and integrated with the Grok Inference API using Meta Llama 3.3 70B. The platform includes key modules such as adaptive skill assessment, AI-generated learning paths, an AI mentor chatbot, video tutoring, mock interviews, resume generation, comprehensive skill testing, and a job portal. Additional features include aptitude training, coding practice with Python execution, note generation, certificates, and progress tracking through daily streaks. The system is deployed on Render with PostgreSQL and WhiteNoise, providing real-time AI responses and an integrated environment for personalized learning and career preparation.

Keywords: Personalized Learning, Large Language Models, Pre-placement Preparation, AI Mentorship, Mock Interviews, Grok API, Llama 3.3, Django Web Framework, Adaptive Assessments, Career Preparedness, CV Generation, Skill Profiling, Aptitude Development, Learning Recommendations, Developer Roadmap.

Balachandar R., Ashwin M., Akshay S, Keerthika (2026). AI-Assisted Learning Path Generator for Competitive Programming. International Journal of Innovative Research in Multidisciplinary Education & Technology (IJIRMET), 11(3).