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High-precision indoor positioning framework, version 3
...Meta-learning with 10 different machine learning classifiers (previously just three). Client uses Websockets+React which reduces bandwidth (and coding complexity). Rolling compression of MAC addresses for much smaller on-disk databases. Data storage in SQLite-database (previously it was BoltDB). Released under MIT license (more commercially compatible than AGPL). The API for sending fingerprints (/track and /learn) and MQTT endpoints are backward compatible.