AI-Based Student Connect Portal

This paper presented an AI-Based Student Connect Portal that operationalizes machine learning and natural language processing to make campus communication timely, relevant, and inclusive. The system integrates a hybrid recommendation engine, multilingual grievance intelligence, a conversational AI chatbot, and a secure modular Django architecture. Evaluation across 250+ student profiles demonstrates 87% sentiment detection accuracy, 92% notice classification precision, and a 30% reduction in manual administrative workload compared to rule-based baselines. Beyond communication improvements, the architecture provides a foundation for data-driven institutional governance. Administrators gain actionable visibility into recurring grievance patterns, engagement levels, and departmental trends. In future iterations, the platform can be extended to a federated multi-institutional network, enabling cross-campus peer mentorship, shared knowledge ecosystems, and collaborative model training. The system stands as a practical blueprint for institutions seeking to augment traditional portals with AI-driven student-centric intelligence.

[1]  M. Kumar and R. Nandal, "Role of Python in Rapid Web Application Development using Django," SSRN, 2024. [2]  P. Sahane et al., "Streamlined Learning with AI-ML: An Integrated Campus Management Platform," IJRITCC, 2023. [3]  Y. Koren, "Collaborative Filtering with Temporal Dynamics," KDD, 2009. [4]  E. H. Chi, "Explainable Recommendation: A Survey and New Perspectives," Found. Trends HCI, 2020. [5]  M. Hardt et al., "Equality of Opportunity in Supervised Learning," NIPS, 2016.