Big data, Docker, Node.js, React, Redux, MongoDB, PostgreSQL, Python, ML
A biometric identification system has been developed on an initiative basis, which allows processing up to 200 photos per second, even on weak servers. Built on a micro-service architecture, it is easily scaled and deployed. The task queue allows you to batch check the availability of the required information in large data arrays in the background due to query optimization. A full-text search with ranking gives the best results when searching for the necessary information. The system has been developed for about a year and is currently being improved. Individual modules are implemented into the existing architecture.