To meet the client’s requirements, we combined the most efficient technologies, microservice architecture that makes the system scalable only where it needs to be, and complex cloud infrastructure. We built the platform from scratch, and to make it the most precise and effective, we developed multiple unique algorithms for graphics processing and indices construction. Text and video parsers are written in Python and are based on AI and ML solutions and can recognize whether a brand name or logo is mentioned in the positive, negative, or neutral context. We used Scrapy, Clickhouse, and other technologies to build different types of scrapers for the platform. The client-side dashboard is built with Symfony PHP and AngularJS that are perfect for visualizing processed data as all kinds of interactive and stable charts, including real-time heat maps. The admin panel was created with the combination of Python, Eve REST API, and AngularJS.
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