Predicting indoor location using machine learning and wifi information

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • whereami

    Uses WiFi signals :signal_strength: and machine learning to predict where you are

  • After trying out a Python project called whereami, I spent some time trying to replicate it in JavaScript.

  • whereami.js

    Node.js module to predict indoor location using machine learning and WiFi information 📶

  • The package I built, whereami.js, relies on node-wifi and random-forest-classifier.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts