Z-ENG: AI-Driven Intelligent Event and Exhibition Management Platform
2026-2027 ősz
Nincs megadva
Téma leírása
Description
This project focuses on extending an AI-powered platform for intelligent event and exhibition management. The current platform integrates document-based conversational AI, computer vision, visitor profiling, and multimedia recommendation to enhance visitor engagement and provide exhibitors with intelligent analytics. Students will contribute new AI modules that improve personalization, recommendation, user interaction, and event management. The developed solutions should integrate with the existing platform and demonstrate practical applicability in real exhibition and conference environments.
Possible Subtopics
1.1 Intelligent Recommendation Engine
Develop advanced recommendation algorithms that personalize the exhibition experience by recommending stands, multimedia content, workshops, or networking opportunities based on visitor behavior and interests.
Tasks
- Study existing recommendation techniques.
- Design personalized recommendation algorithms.
- Utilize visitor profiles and behavioral data.
- Evaluate recommendation quality using suitable metrics.
- Integrate the solution into the platform.
1.2 AI-Based Visitor Profiling
Develop methods for automatically constructing visitor profiles from multiple information sources such as chatbot conversations, viewed multimedia, browsing history, and interaction logs.
Tasks
- Extract visitor interests using LLMs.
- Build structured user profiles.
- Design profile updating mechanisms.
- Connect generated profiles with the recommendation engine.
1.3 Explainable AI Recommendations
Develop explainable recommendation methods that provide understandable reasons for recommended content.
Tasks
- Design explanation generation methods.
- Connect recommendations with user history.
- Develop interfaces for displaying explanations.
- Evaluate explanation quality through user studies.
1.4 AI Networking Assistant
Develop an intelligent assistant that recommends exhibitors, companies, or visitors with similar interests to facilitate networking during events.
Tasks
- Build semantic user representations.
- Calculate similarity between users and exhibitors.
- Develop recommendation strategies.
- Integrate recommendations into the existing platform.
Required Skills
- Python
- Machine Learning fundamentals
- Deep Learning basics
- Large Language Models
- REST APIs
- Git
- Basic SQL
Maximális létszám:
6 fő