TheIntelligentVenue:ScalingCampusEngagementwithAI

The university event landscape is traditionally fragmented. Manual logistics, low data visibility, and guesswork in planning often lead to under-attended workshops and over-catered meetups. EventLK was born out of a simple question: Can we apply predictive models to campus engagement?

At its core, the system utilizes an ensemble of machine learning algorithms to process historical attendance data. By analyzing factors such as timing (proximity to exams), thematic interest (e.g., "Web3" vs "AI"), and society cross-pollination, we generate engagement forecasts with surprising accuracy.

• 01Dynamic Resource Allocation: Automated budgeting based on predicted attendance.
• 02Intelligent Theming: Recommending event topics trending within the student demographic.
• 03Automated Logistics: Real-time room booking and scheduling via society API integrations.

Implementing AI in a university setting isn't just about the model—it's about the interface. We focused on a "Simplified Orchestration" approach, where society leads can interact with complex data insights through an intuitive, role-based dashboard built on Next.js.