Affiliation:
1. Sinhgad Academy of Engineering, , Pune, India
Abstract
In the dynamic landscape of higher education admissions, traditional processes encounter inefficiencies and limitations in providing personalized support to prospective students. This research proposes a comprehensive solution that merges advanced machine learning methodologies with AI-driven chatbot technology to redefine the admission journey. By addressing the challenges faced by both applicants and institutions, this innovative approach aims to streamline the admissions process while nurturing a supportive ecosystem for students. Through predictive modeling and educational chatbots, the integrated system enhances efficiency and provides tailored guidance, facilitating a smoother transition into higher education. This paper explores the potential of this integrated solution, emphasizing its implications for predictive modeling, college prediction, and the overall improvement of the admission experience.