rajyalakshmi109/AI-Indoor-Navigation ? reverse-engineered prompt

Build me a Python app for indoor navigation using Wi Fi fingerprinting.

I want a small backend that takes Wi Fi scan readings with BSSID and RSSI, matches them to the trained building data, predicts the user’s current indoor location, and then finds the best walking route to a chosen destination. It should also expose a simple health check and endpoints for getting destinations, making a prediction, and generating a navigation route.

Please include the full data preparation and model training flow, plus evaluation so I can see how well the model works on held out session data. A random forest model should be the main live predictor, and the routing should use the building map as a graph to produce directions and approximate distance.

Also make a simple Streamlit dashboard where I can test demo mode, see the predicted location, view the floor map, and follow the highlighted route with walking instructions. If anything is unclear, look up current docs online if you need to.