Hi @jedarden !
I love this project but I think it misses a human-readable intro for the home assistant users on how it is working exactly.
Your README.md has so much content that I get lost. I would perhaps put it in another markdown file. In your README.md itself I would just put something like: use an ESP32 and machine learning to have accurate indoor positioning.
I would put something like (it may be completely wrong but this is what I understood after navigating the repo for a bit):
It uses on device machine learning and measurable WIFI fingerprinting (like WIFI response time, RSSI based signal strength and channel state information) to achieve sub-meter indoor positioning.
If you think this issue is not valid, feel free to close it. I think you may have something great here but even for me as an engineer, your README.md has bombarded me with too much technical info 😬.
Hi @jedarden !
I love this project but I think it misses a human-readable intro for the home assistant users on how it is working exactly.
Your
README.mdhas so much content that I get lost. I would perhaps put it in another markdown file. In yourREADME.mditself I would just put something like: use an ESP32 and machine learning to have accurate indoor positioning.I would put something like (it may be completely wrong but this is what I understood after navigating the repo for a bit):
It uses on device machine learning and measurable WIFI fingerprinting (like WIFI response time, RSSI based signal strength and channel state information) to achieve sub-meter indoor positioning.
If you think this issue is not valid, feel free to close it. I think you may have something great here but even for me as an engineer, your
README.mdhas bombarded me with too much technical info 😬.