Predicting indoor location using machine learning and wifi information
Read OriginalThis article details the development of 'whereami.js', a JavaScript package that uses WiFi network scan data (SSID, BSSID, signal quality) and a Random Forest machine learning classifier to predict a user's indoor location. It covers data collection, formatting for consistency, and the training/prediction process.
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