International Journal of Scientific Research and Engineering Development

The AI-Based Career Guidance System is developed using the Python Django framework to assist students in identifying suitable career pathways based on academic scores, interests, and skill sets. Instead of employing sophisticated Machine Learning algorithms, the system uses a rule-based decision approach to produce transparent and explainable recommendations. User information is captured through a web interface and processed through predefined logic blocks to suggest the most appropriate careers. The system is lightweight, scalable, and suitable for educational institutions where dataset availability for ML training may be limited. Experimental results show high accuracy in career recommendations, reliability in decision-making, and reduced processing time. This paper presents the design, methodology, implementation, and performance analysis of the system.