Event Intelligence Platform (NDA)
A confidential event discovery and collaborative planning platform that transforms fragmented public information from 20+ ticketing, venue, cultural, and municipal sources into structured, searchable events. Python ingestion and AI-assisted extraction handle inconsistent websites, while LLM workflows categorize, enrich, and validate content before it reaches web and mobile experiences.
From fragmented sources to shared decisions
A privacy-safe view of the data, AI, discovery, and collaboration architecture delivered without exposing the client's identity.
Integrated source ecosystem
20+
Intelligent event data pipeline
Python ingestion
Source adapters and scheduled parsers normalize 20+ public sources.
AI extraction
Crawl4AI and LLM workflows structure dynamic, inconsistent pages.
Classify & discover
Categories, multilingual keywords, validation, search, and maps.
Multi-person planning
Shared sessions help groups collect, compare, vote, and agree on an event together.
Key Highlights
Built a modular Python ingestion platform for 20+ ticketing, cultural, venue, cinema, and municipality sources, combining source-specific parsers with repeatable scheduling and regression fixtures
Implemented AI-assisted web extraction with Crawl4AI for dynamic and inconsistent pages, normalizing events, occurrences, venues, images, and pricing into one reliable data model
Created OpenAI-powered categorization across 30+ categories, multilingual search keywords in Latvian, English, and Russian, plus a separate validation workflow for content quality and price extraction
Designed multi-person planning with shareable sessions, quick-share flows, collaborative filters, synchronized likes and votes, participant visibility, and a promoted final event
Delivered public discovery across search, filters, maps, venues, organizers, and series, alongside dedicated administration, vendor, and native mobile experiences
Engineered the supporting platform with a React client, Node.js BFF and Redis cache, Flask API, PostgreSQL, Dockerized services, Terraform-managed AWS infrastructure, backups, and archival workflows
Technology Stack
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