AI Meets Location

Ever wondered on how we can add AI when it comes to location based services? In this code we upload pass an image to a Python Flask Application and get recommendation based on the food picture you have passed.

Sign up for IBM Cloud at https://ibm.biz/HERETechnologies

Get your HERE API Key at https://developer.here.com

Architecture

1. User passes an image in the python code
2. As we are using the visual recognition service there is a out of the box food model which we are going to use and it detects the name of the food which we have passed
3. The name of the food is then passed to the HERE Maps Discover API which then suggests places around a particular location which we have configured within the python application.

Local Deployment

To implement this code to a location of your choice

1. Clone this repository

git clone https://github.com/vidhanbhonsle/Visual-Recognition-with-IBM-HERE-and-Python

2. Add your IBM Cloud Visual Recogntion API Key and Here Maps API Key in test.py

authenticator = IAMAuthenticator('IBM_API_KEY')

visual_recognition = VisualRecognitionV3(
    version='2018-03-19',
    authenticator=authenticator)

visual_recognition.set_service_url('IBM_SERVICE_URL') 

3. Enter the templates directory and add the HERE maps API key obtained from developer.here.com and add it to the JS_API_KEY variable

	 var platform = new H.service.Platform({
            apikey: "JS_API_KEY" //HERE MAPS API KEY   
        });

4. And scroll to the variables where the latitude and longitude are set and replace it with the latitude and longitude of your desired locaiton.

latitude = 12.959111
longitude = 77.732022

5. Open a terminal and cd into the application directory and export the FLASK_APP variable

export FLASK_APP=test.py

6. You can now run the application by running flask run in the terminal.

7. OPTIONAL If you would like to assess another food item just add it to the project folder and in the test.py file replace the filename pizza.jpg with the filename of your picture.

with open('./pizza.jpg', 'rb') as images_file:

Save the file and re-run flask run to see the changes.

Cloud Foundry Deployment

To host your application online you can also deploy the same application on IBM Cloud's Coud Foundry.

Cloud Foundry Architecture

Deploy Application on Cloud Foundry

Install the IBM Cloud CLI

Mac or Linux

curl -sL https://ibm.biz/idt-installer | bash

Windows (Use Powershell as Adminstrator)

[Net.ServicePointManager]::SecurityProtocol = "Tls12, Tls11, Tls, Ssl3"; iex(New-Object Net.WebClient).DownloadString('https://ibm.biz/idt-win-installer')

1. Login to the IBM Cloud CLI

ibmcloud login

2. Target your IBM Cloud CF Organization & Space

ibmcloud target --cf 

3. Edit the manifest.yaml and change then - name: <your app name> to the same name you have entered on IBM Cloud when creating the Cloud Foundry IBM Cloud Service

  applications:
  - name: allocation 
    random-route: true
    memory: 128M

8. Once you have changed the .yml file you can start with pushing your application, making sure that you are in the VisualRec-CloudFoundry directory enter the command

ibmcloud app push

And your application will start to deploy on Cloud Foundry and you will be able to access it by seeing the output of the application route on your terminal and also can be access through .

NOTICE You can also make changes to the application if you like as stated in the local deployment section within the VisualRec-CloudFoundry directory and run cf psuh to see your changes.