A web platform that tracks luxury watch prices and provides AI-driven buy, sell, and hold investment recommendations.
Developed Chronometrics, a data-intensive web platform designed for tracking luxury watch market trends and providing intelligent investment insights. The system performs large-scale web scraping of over 50,000 records daily using Scrapy with Zyte proxies to collect real-time pricing and market data from multiple sources.
Built an automated data pipeline using n8n workflows to process, clean, and structure incoming data before storing it in MySQL for efficient querying and analytics. The platform generates AI-powered recommendations (buy, sell, hold) based on key financial indicators such as margin, liquidity, and risk analysis.
Implemented interactive dashboards with Next.js, featuring dynamic price tracking graphs that allow users to visualize market trends and price fluctuations over time. The system is optimized for scalability and real-time insights, making it suitable for both collectors and investors in the luxury watch market.