📚 Fix minor typos, grammar and formatting issues. (#2575)

FeatureRequest.md

@@ -2,10 +2,9 @@
 
 **There are a lot of ideas for further improvements, but only limited capacity on side of the developer.** Therefore I have created this page as a collection of ideas. 
 
-1. Who ever has a new idea can put it here, so it that it is not forgotten. 
+1. Whoever has a new idea can put it here, so that it is not forgotten. 
 
-2. Who ever has time, capacity and passion to support, can take any of the ideas and implement them. 
-   I will support and help where ever I can!
+2. Whoever has the time, capacity and passion to support the project can take any of the ideas and implement them. I will provide support and help wherever I can!
    
    
 
@@ -51,7 +50,7 @@ haveing this state in the mqtt broker can trigger functions like closing the ate
 
 #### ~~#29 Add favicon and use the hostname for the website~~- implemented v11.3.1
 
-~~* https://github.com/jomjol/AI-on-the-edge-device/issues/927~~
+* ~~https://github.com/jomjol/AI-on-the-edge-device/issues/927~~
 
 #### #28 Improved error handling for ROIs
 
@@ -89,7 +88,7 @@ haveing this state in the mqtt broker can trigger functions like closing the ate
 
 #### ~~#22 Direct hint to the different neural network files in the other repositories~~- implemented >v11.3.1
 
-~~* https://github.com/jomjol/AI-on-the-edge-device/issues/644~~
+* ~~https://github.com/jomjol/AI-on-the-edge-device/issues/644~~
 
   
 

README.md

@@ -1,31 +1,31 @@
 # Welcome to the AI-on-the-edge-device
 <img src="images/icon/watermeter.svg" width="100px">
 
-Artificial intelligence based systems have been established in our every days live. Just think of speech or image recognition. Most of the systems relay on either powerful processors or a direct connection to the cloud for doing the calculations up there. With the increasing power of modern processors the AI systems are coming closer to the end user - which is usually called **edge computing**.
-Here this edge computing is brought into a practical oriented example, where a AI network is implemented on a ESP32 device so: **AI on the edge**.
+Artificial intelligence based systems have become established in our everyday lives. Just think of speech or image recognition. Most of the systems rely on either powerful processors or a direct connection to the cloud for doing the calculations there. With the increasing power of modern processors, the AI systems are coming closer to the end user – which is usually called **edge computing**.
+Here, this edge computing is put into a practically oriented example, where an AI network is implemented on an ESP32 device so: **AI on the edge**.
 
-This projects allows you to digitalize your **analoge** water, gas, power and other meters using cheap and easily available hardware.
+This project allows you to digitize your **analog** water, gas, power and other meters using cheap and easily available hardware.
 
-All you need is an [ESP32 board with a supported camera](https://jomjol.github.io/AI-on-the-edge-device-docs/Hardware-Compatibility/) and a bit of a practical hand.
+All you need is an [ESP32 board with a supported camera](https://jomjol.github.io/AI-on-the-edge-device-docs/Hardware-Compatibility/) and something of a practical hand.
 
 <img src="images/esp32-cam.png" width="200px">
 
 ## Key features
-- Tensorflow Lite (TFlite) integration - including easy to use wrapper
-- Inline Image processing (feature detection, alignment, ROI extraction)
-- **Small** and **cheap** device (3x4.5x2 cm³, < 10 EUR)
-- camera and illumination integrated
-- Web surface to administrate and control
-- OTA-Interface to update directly through the web interface
+- Tensorflow Lite (TFlite) integration – including easy-to-use wrapper
+- Inline image processing (feature detection, alignment, ROI extraction)
+- **Small** and **cheap** device (3 x 4.5 x 2 cm³, < 10 EUR)
+- Integrated camera and illumination
+- Web interface for administration and control
+- OTA interface for updating directly via the web interface
 - Full integration into Homeassistant
 - Support for Influx DB 1
 - MQTT
 - REST API
 
 ## Workflow
-The device takes a photo of your meter at a defined interval. It then extracts the Regions of Interest (ROI's) out of it and runs them through an artificial inteligence. As a result, you get the digitalized value of your meter.
+The device takes a photo of your meter at a defined interval. It then extracts the Regions of Interest (ROIs) from the image and runs them through artificial intelligence. As a result, you get the digitized value of your meter.
 
-There are several options what to do with that value. Either send it to a MQTT broker, write it to an InfluxDb or simply provide it throug a REST API.
+There are several options for what to do with that value. Either send it to an MQTT broker, write it to an InfluxDb or simply provide access to it via a REST API.
 
 <img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/idea.jpg" width="600"> 
 
@@ -41,62 +41,62 @@ There are several options what to do with that value. Either send it to a MQTT b
 
 
 ## Setup
-There is a growing [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/) which provides you with a lot of information.
-Head there to get a start, set it up and configure it.
+There is growing [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/) which provides you with a lot of information. Head there to get a start, set it up and configure it.
 
-There are also a articles in the German Heise magazine "make:" about the setup and the technical background (behind a paywall) : [DIY - Setup](https://www.heise.de/select/make/2021/2/2103513300897420296)
+There are also articles in the German Heise magazine "make:" about the setup and technical background (behind a paywall): [DIY - Setup](https://www.heise.de/select/make/2021/2/2103513300897420296)
 
-For further background information, head to [Neural Networks](https://www.heise.de/select/make/2021/6/2126410443385102621), [Training Neural Networks](https://www.heise.de/select/make/2022/1/2134114065999161585) and [Programming on the ESP32](https://www.heise.de/select/make/2022/2/2204010051597422030) 
+For further background information, head to [Neural Networks](https://www.heise.de/select/make/2021/6/2126410443385102621), [Training Neural Networks](https://www.heise.de/select/make/2022/1/2134114065999161585) and [Programming on the ESP32](https://www.heise.de/select/make/2022/2/2204010051597422030).
 
 ### Download
-The latest available version is available on the [Releases page](https://github.com/jomjol/AI-on-the-edge-device/releases).
+The latest available version can be found on the [Releases page](https://github.com/jomjol/AI-on-the-edge-device/releases).
 
-### Flashing of the ESP32
-Initially you will have to flash the ESP32 through an USB connection. Later an update is possible directly over the Air (OTA).
+### Flashing the ESP32
+Initially you will have to flash the ESP32 via a USB connection. Later updates are possible directly over the air (OTA).
 
 There are different ways to flash your ESP32:
-- [Web Installer and Console](https://jomjol.github.io/AI-on-the-edge-device/index.html) (Webbrowser based tool to flash the ESP32 and extract the Log over USB)
+- [Web Installer and Console](https://jomjol.github.io/AI-on-the-edge-device/index.html) (Browser-based tool to flash the ESP32 and extract the log over USB)
 - Flash Tool from Espressif
-- ESPtool (Command Line Tool)
+- ESPtool (command-line tool)
 
-See the [Docu](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/) for more information.
+See the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/) for more information.
 
-### Flashing the SD-Card
-The SD-Card must be flashed separately, see the [Docu](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/) for details.
+### Flashing the SD Card
+The SD card must be flashed separately, see the [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/) for details.
 
 ## Casing
 
-A 3d-printable housing can be found here:
+A 3D-printable housing can be found here:
   - https://www.thingiverse.com/thing:4573481 (Water Meter)
   - https://www.thingiverse.com/thing:5028229 (Power Meter)
   - https://www.thingiverse.com/thing:5224101 (Gas Meter)
-  - https://www.thingiverse.com/thing:4571627 (ESP32-Cam housing only)
+  - https://www.thingiverse.com/thing:4571627 (ESP32-cam housing only)
 
-## Build it yourself
+## Build It Yourself
 See [Build Instructions](code/README.md).
 
 ## Donate
-If you would like to support the developer with a cup of coffee you can do that via [Paypal](https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL).
+If you would like to support the developer with a cup of coffee, you can do that via [PayPal](https://www.paypal.com/donate?hosted_button_id=8TRSVYNYKDSWL).
 
 <form action="https://www.paypal.com/donate" method="post" target="_top">
 <input type="hidden" name="hosted_button_id" value="8TRSVYNYKDSWL" />
 <input type="image" src="https://www.paypalobjects.com/en_US/DK/i/btn/btn_donateCC_LG.gif" border="0" name="submit" title="PayPal - The safer, easier way to pay online!" alt="Donate with PayPal button" />
 <img alt="" border="0" src="https://www.paypal.com/en_DE/i/scr/pixel.gif" width="1" height="1" />
 </form>
-If you have any technical topics, you can create an [Issue](https://github.com/jomjol/AI-on-the-edge-device/issues). 
 
-In other cases you can contact the developer via email: <img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/mail.jpg" height="25"> 
+If you have any technical problems, you can create an [Issue](https://github.com/jomjol/AI-on-the-edge-device/issues).
+
+In other cases you can contact the developer via email: <img src="https://raw.githubusercontent.com/jomjol/AI-on-the-edge-device/master/images/mail.jpg" height="25">
 
 ## Changes and History 
-See [Changelog](Changelog.md)
+See [Changelog](Changelog.md).
 
 ## Tools
 
 * Logfile downloader and combiner (Thx to [reserve85](https://github.com/reserve85))
-  * Files see ['/tools/logfile-tool'](tbd), How-to see [Docu](https://jomjol.github.io/AI-on-the-edge-device-docs/outdated--Gasmeter-Log-Downloader/)
+  * Files see ['/tools/logfile-tool'](tbd), how-to see [documentation](https://jomjol.github.io/AI-on-the-edge-device-docs/outdated--Gasmeter-Log-Downloader/)
 
 ## Additional Ideas
-There are some ideas and feature requests which are not followed currently - mainly due to capacity reasons on side of the developer. They are collected here: [FeatureRequest.md](FeatureRequest.md)
+There are some ideas and feature requests which are not currently being pursued – mainly due to capacity reasons on the part of the developer. They are collected here: [FeatureRequest.md](FeatureRequest.md).
 
 ------
 

docs/index.html

@@ -22,9 +22,9 @@
       <ul>
          <li>For the installation, make sure to switch the ESP32 to Bootloader mode!</li>
          <li>After the installation, a manual reset might be required!</li>
-         <li>Please note that not all webbrowsers and operating systems support the needed access to USB!</li>
+         <li>Please note that not all web browsers and operating systems support the necessary USB access!</li>
          <li>Check the <a href=https://jomjol.github.io/AI-on-the-edge-device-docs/Installation target=_blank>documentation</a> for additional information.</li>
-         <li>The SD-Card still must be setup separately. This can be done manually or using the new <b>Remote Setup</b>. See the <a href=https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#3-sd-card target=_blank>documentation</a> for further instructions!</li>
+         <li>The SD card must still be set up separately. This can be done manually or using the new <b>Remote Setup</b>. See the <a href=https://jomjol.github.io/AI-on-the-edge-device-docs/Installation/#3-sd-card target=_blank>documentation</a> for further instructions!</li>
          
       </ul>