AI-Powered Platform for Academic Analysis, Career Guidance, and Learning Resource Recommendation

Wethen briefly describe AcadIQ, the developed AI-powered application aimed at using such models for student academic analysis and career guidance with personalized learning recommendations. The paper finally concludes with some experimental results on the datasets. We illustrate the working and application of machine learning in education sector with the help of AcadIQ where AI is employed for data-driven modeling and recommendation. We evaluated the effectiveness of our proposed system by implementing it. Experimental results showed high accuracy, precision, and user satisfaction compared to conventional methods, confirming our system‘s capability for massive implementation. To improve these aspects, future work will focus on building a more robust user interface with feedback mechanisms, integrating advanced deep learning models, using real-time analytics for decision-making, and adopting adaptive learning strategies.

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