Events2Come
AI analytics platform for event aggregation and service demand prediction

Predictoura (events2come) is an advanced application using artificial intelligence algorithms for large event aggregation, service demand prediction, and dynamic pricing management. The project was created for the event, hospitality, and transportation industries, offering tools for analyzing event impact on local infrastructure and predicting market behaviors.

The application built on React 19.2 with Vite and TypeScript in strict mode offers a comprehensive event analysis ecosystem: from exploring thousands of events with advanced filters (30+ options), through detailed impact analyses with metrics breakdown (reach, prestige, internationalization, security), to weekly calendar visualizing event density. The system uses AI algorithms for demand prediction, impact score calculation, and similar event identification, enabling price optimization and resource allocation. OpenLayers integration provides precise location visualization, while TanStack Query with 5-minute cache guarantees smooth operation. Clean Architecture with layer separation, URL filter persistence, and debounced search (500ms) ensure a scalable and efficient solution. Predictoura excels in hotel chains, transportation companies, event organizers, travel agencies, and anywhere event-based demand prediction has critical business importance.

Application features:

  • Advanced search engine with natural language queries and 30+ filters: Impact Score (0-100), Estimated Attendance, Prestige Score, Duration Days, Date Range, Event Type (9 categories), Event Reach, Security Level
  • AI algorithms for demand prediction calculating composite impact score based on prestige, internationalization, reach, and event logistical impact
  • Detailed impact analysis with circular gauge visualization, metrics breakdown (Event Reach, Logistical Impact, Internationalization Score, Prestige Score, Security Level), and explanatory tooltips
  • Weekly calendar with daily impact scores, category activity breakdown, top 3 venues each day, and week summary with most active locations ranking
  • Similar events search using similarity matching algorithms to identify events with comparable characteristics and impact
  • OpenLayers map integration with venue markers, geographic coordinates, Google Maps links, and interactive navigation and zoom
  • Event badges and categorization system (Cultural/Entertainment, Educational/Scientific, Sports, Business, Private/Corporate) with colored indicators and risk levels
  • Filter persistence in URL query params enabling easy search sharing and returning to saved views
  • Multi-criteria sorting (similarity, impact score, attendance, start date) with filter context and search query preservation
  • TanStack Query with optimistic updates, 5min cache, retry logic, and Zustand for global filter and user settings state management

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