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Efficient digital infrastructure is essential for managing academic operations in higher education institutions. Many conventional academic management platforms operate through isolated modules for attendance, results, and administrative tasks, resulting in fragmented workflows and increased manual effort. This paper presents NeoCampus, a web-based Academic Management System developed using the Django framework with PostgreSQL as the backend database. The system centralizes student record management, structured attendance processing through Excel uploads, result management with analytical summaries, and role-based dashboards for administrators, faculty, and students. To enhance user interaction, NeoCampus integrates a Large Language Model (LLM)-based conversational assistant through a secure API interface, enabling real-time academic query resolution and system navigation support. Unlike predictive AI-driven systems, the proposed solution focuses on intelligent workflow automation and operational efficiency without model training or predictive analytics. Performance evaluation conducted in a localhost deployment environment demonstrates low response latency, stable multi-user handling, and efficient relational database operations. The modular architecture ensures scalability and future extensibility for institutional digital transformation.