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-<h1>uWeather Firmware</h1>
-Firmware for a small Arduino/ESP8266 + BME280 Weather Station
+# uWeather Firmware
 
-# Features
+Firmware for a small Arduino/ESP8266 + BME280 Weather Station.
 
-## Weather over HTTP
-See live weather data over a small webapp running on the weather station.  Connect over mDNS or directly to the station's IP address if mDNS is not configured or supported.
+## Features
 
-## MQTT Data
-The station can send JSON encoded weather data to a configured MQTT Host.  Currently, only communication over the standard port without TLS or authentication is supported.
+### Weather Over HTTP
+Access live weather data via a web app running on the weather station. Connect using mDNS (`weather.local`) or directly to the station's IP address if mDNS is not configured or supported.
 
-# Build/Install
-`pio run -t upload`, then `pio run -t uploadfs` to build and upload code and filesystem for the first time, while connected over USB/Serial.
+### MQTT Data (Experimental)
+The station can send JSON-encoded weather data to a configured MQTT host. Currently, it supports communication only over the standard port without TLS or authentication.
 
-If station is connected to wifi, uploading over the air is preferred:
-`pio run -t upload --upload-port 192.168.1.72` (substituting the station's IP address)
+## Build and Install
 
-# Initial Station Setup
-After installing firmware and booting for the first time:
-1) Using a smartphone or laptop, connect to the station's WiFi Access Point
-2) Access the setup page from 192.168.1.4/setup
-3) Enter WiFi configuration and station settings
-4) Optionally commit config settings to EEPROM(WiFi is automatically committed) by POST-ing to /config/commit for the settings to persist after a restart.
+1. **Building and Uploading via USB/Serial:**
+   - Connect the ESP8266 to your computer via USB.
+   - Use PlatformIO to build and upload the firmware:
 
-# TODO
-* ~~Implement /wifi/scan~~
-* Shutdown web server
-* Configurable MQTT update interval
-* Deep sleep
-* Remotely disable deep sleep
\ No newline at end of file
+     ```sh
+     pio run --target upload
+     ```
+
+   - For the first time setup, also upload the filesystem:
+
+     ```sh
+     pio run --target uploadfs
+     ```
+
+2. **Uploading Over the Air (OTA):**
+   - If the station is already connected to WiFi, OTA uploads are preferred:
+
+     ```sh
+     pio run --target upload --upload-port <station_ip_address>
+     ```
+
+   - Replace `<station_ip_address>` with the actual IP address of the station (e.g., `192.168.1.72`).
+
+## Initial Station Setup
+
+After installing the firmware and booting for the first time:
+
+1. Connect to the station's WiFi Access Point using a smartphone or laptop.
+2. Open the setup page at `http://192.168.1.4/setup`.
+3. Enter the WiFi configuration and station settings.
+4. Optionally commit config settings to EEPROM (WiFi settings are automatically saved). To persist other settings after a restart, POST to `/config/commit`.
+
+**Note:** There are known issues with the initial WiFi connection process. As a workaround, temporarily set WiFi credentials manually in the code to ensure they are written to EEPROM.
+
+## Monitoring via Serial UART
+
+- Monitor the serial output at 74880 baud to see logs and debug information:
+
+  ```sh
+  pio device monitor -b 74880
+  ```
+
+## Web Server Usage
+
+- The web server is accessible via plain HTTP. By default, it responds at `weather.local` using mDNS. Alternatively, use the station's IP address if mDNS is not available.
+
+## Known Issues and Troubleshooting
+
+- **Initial WiFi Connection:** There are issues with connecting to WiFi for the first time. Manually setting the WiFi credentials in the code is a recommended workaround to write them to EEPROM.
+- **MQTT:** The MQTT functionality is still experimental and may have limited support or issues. Currently, it does not support TLS or authentication.
+
+## TODO
+
+- ~~Implement /wifi/scan~~
+- Shutdown web server
+- Configurable MQTT update interval
+- Deep sleep functionality
+- Remotely disable deep sleep