Project Overview
This project tackles the complex challenge of manually sourcing, verifying, and populating event data—a significant bottleneck for any event aggregation or location-based platform. We developed an intelligent, end-to-end automated workflow that transforms raw location data into rich, complete, and engaging event listings.
Powered by n8n, the system acts as a smart data pipeline. It ingests coordinates via a webhook, queries external APIs to find nearby events, and then performs a crucial database check to prevent duplicates. Leveraging ChatGPT, the workflow automatically generates compelling, SEO-friendly event descriptions. To complete the listing, it integrates with the Google Maps API to fetch precise location data and high-quality images. This fully enriched, verified, and production-ready event data is then seamlessly inserted into the database, dramatically reducing manual effort and accelerating content time-to-market.
Application Showcase
Key Features
- Webhook Data Reception: Receives location data (latitude & longitude) via webhook.
- API-based Event Fetching: Fetches event details from external APIs using location.
- Duplicate Checking: Checks for existing events in the database to prevent redundancy.
- AI-Powered Descriptions: Uses AI to generate or verify event descriptions in markdown format.
- Data Enrichment: Retrieves precise locations and related event images.
- Database Insertion: Inserts complete and enriched event data into the database.
Solutions
- Built a robust webhook handler to normalize incoming location data.
- Developed flexible API connectors to parse various event data formats.
- Implemented an efficient duplicate checking algorithm using key event identifiers.
- Utilized a generative AI model fine-tuned for creating engaging event descriptions.
- Integrated with the Google Maps API for precise location and image retrieval.
- Designed a transactional database workflow to ensure all data is inserted correctly.