fixed README

Author: fcolasante

crowd-sensing/README.md

@@ -3,9 +3,16 @@
 - Watch my video on [YouTube](https://youtu.be/p3gq2VLTSiI)
 - Read my [blog-post](https://medium.com/@colasante.francesco/4-how-to-create-a-crowd-sensing-application-using-generic-sensor-api-and-javascript-47e3ff1df49e) on Medium
 
+
+
 # Architecture
 ![Crowd sensing](https://cdn-images-1.medium.com/max/1200/1*MmoSdsb-oU7MYuFq9tXBZA.png)
 
+
+## Live demo
+Live demo is available [here](https://fcolasante.github.io/crowd-sensing/).
+
+
 ## Linear Acceleration Sensor
 The LinearAccelerationSensor measures acceleration that is applied to the device hosting the sensor, excluding the contribution of a gravity force. When a device is at rest, for instance, lying flat on the table, the sensor would measure ≈ 0 m/s2 acceleration on three axes.
 
@@ -15,7 +22,7 @@ After reading several papers about Human Activity recognition (HRA) [1](https://
 
 ## Deployment
 As already mentioned in the introduction, I created two different versions:
-- cloud-deployment: the page sends the raw data to Thingsboard, processes it through the HRA model and outputs the prediction. [Link]
+- cloud-deployment: the page sends the raw data to Thingsboard, processes it through the HRA model and outputs the prediction.
 - edge-deployment: the page processes the model locally using Javascript, from the prediction as output and sends the prediction and raw data to Thingsboard which saves them and also providing dashboards.
 
 ## Thingsboard
@@ -41,6 +48,12 @@ This is the code to send telemetry on Thingsboard:
     Http.open("POST", url);
     Http.send(msg);
 ```
+
+# Notes
+ I tried to test the code locally using `http-server` but the sensor was not recognized by my smartphone. I had to test the code pushing on GitHub Pages necessarily. **(It was not very easy to debug this way)**.
+I created a simple `print` on HTML that replaces the classic console.log to “easily” find errors.
+I have tested the application on a samsung S8.
+
 # Details
 
 Tutorial of the [Internet of Things course 2020](http://ichatz.me/Site/InternetOfThings2020), part of the MSc on Computer Engineering, Department of Computer, Control and Management Engineering (DIAG), Sapienza University of Rome.