Equity-Enhancing AI: Integrating Counseling Marks for Fair Student Selection

Students and parents face major problem in deciding college based on their interest and academic acheiments. There is always a trade off between counselling marks and college selection. The proposed system, which would drastically change the current scenario, students and their families would receive personalized college recommendations based on their academic interests, career aspirations, and 12th grade cutoff scores. The system examines historical cutoff scores, admission trends, and other pertinent data to provide you with accurate, data-driven insights into your chances of being admitted to various colleges. Comprehensive information about the participating universities is provided, along with streamlined techniques for data retrieval and analysis and easily navigable interfaces. This system's main goals are to reduce the amount of lessthan-ideal college choices made by participants in the TNEA counseling program, improve admissions process transparency, and promote data-driven decision-making. To assist students and their families in making informed decisions that support their academic and career goals, the system makes use of sophisticated algorithms and a vast amount of data. The system aims to enable students to make wellinformed decisions about their future educational pathways through the integration of sophisticated analytics and user-friendly interfaces. The system's goal is to improve the college selection process and outcomes for students enrolled in the TNEA counseling program by providing information on admission probabilities and helping students identify colleges that best suit their preferences and aspirations. In summary, the suggested system leverages data-driven insights to assist students in making informed decisions, which is a significant advancement in the higher education admissions process.