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    A Full-Stack Event Management System Using AI (Artificial Intelligence)

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    CSE- 250270.pdf (3.864Mb)
    Date
    2025-01-12
    Author
    Nazmus, Sakib
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    Abstract
    Event management in Bangladesh has traditionally relied on manual processes, including spreadsheets, WhatsApp groups, and basic web forms, leading to fragmented information, data silos, and significant inefficiencies. Organizers face the challenge of coordinating multiple aspects of an event simultaneously—scheduling sessions, managing attendees, tracking speakers, allocating resources, and analyzing feedback—all of which demand high cognitive effort and often result in errors or delays. This project proposes an A Full-Stack Event Management System using AI (Artificial Intelligence) designed to address these challenges by providing a proactive, intelligent, and automated platform for event orchestration. By leveraging artificial intelligence, the system transforms conventional data storage tools into an active collaborator, assisting organizers in decision-making, content generation, predictive planning, and resource optimization. The system is built using a modern technology stack: a React/Next.js frontend for dynamic user interaction, Node.js backend for RESTful services, and Python for AI model development. The Groq API powers high-speed AI inference, enabling low-latency recommendations and analytics. Database management is handled with MongoDB and PostgreSQL, supporting structured event data and AI training datasets. A custom bd_divisions.js dataset provides localized support for all Bangladeshi divisions and districts, addressing the limitations of global platforms. Preliminary evaluation indicates a 40% improvement in planning efficiency, allowing event organizers to handle larger events with the same resources, reduce manual errors, and improve attendee satisfaction. This project demonstrates that AI is not merely a supplementary tool, but a transformative enabler for modern event management, bridging the gap between manual administrative effort and intelligent, proactive orchestration. In conclusion, this AI-powered platform represents a significant advancement in event management for Bangladesh, providing a scalable, localized, and intelligent solution that can serve as a benchmark for future AI-SaaS implementations in the South Asian region. The system lays the foundation for further enhancements, including AR/VR venue previews, blockchain-based ticketing, and voice assistant integration, which could further revolutionize the event management industry.
    URI
    http://suspace.su.edu.bd/handle/123456789/2615
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    • 2021 - 2025 [184]

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