3 strategies to make your NativeScript apps feel all the feels!

Boost Your Apps' Emotional Intelligence

Jen Looper

Progress

Senior Developer Advocate

Let's talk about NativeScript

NativeScript is…

an open source framework for building truly native mobile apps with JavaScript. Use web skills, like TypeScript, Angular and CSS, and get native UI and performance on iOS and Android.

NativeScript is the best tool for cross-platform native app development 🎉

1

Rich, animated, “no compromise” native UI

(with shared UI code)

Search for

“Examples NativeScript”

in the iOS App Store or Google Play to try this app out for yourself.

2

Maximum code and skill reusability 

Ease of doing native-y things

3

NativeScript modules

NativeScript modules for UIs

Reuse existing native Android and iOS libraries

NativeScript Marketplace

Vibrant and growing community 💖

4

NativeScript community Slack channel

Supported by a major software company vested in your success 👨‍💼👩‍💼

5

Help!

My apps are stupid and boring

Make your apps "smarter"

Powered by Firebase & NativeScript

QuickNoms.com

Algolia search

Firebase Remote Config marquee

Text-To-Speech

speak(text: string){
        this.isSpeaking = true;
        let speakOptions: SpeakOptions = {
            text: text,
            speakRate: 0.5,
            finishedCallback: (() => {
                this.isSpeaking = false;
            })   
        }
		this.TTS.speak(speakOptions);
    }

pass a string to the plugin to leverage native text-to-speech capability

not

What even is machine learning?

a way to give “computers the ability to learn without being explicitly programmed.”

Machine Learning is:

"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.” (Tom Mitchell, 1997).

How to make a machine learn*

• The training set is categorized (sorted by hand or by machine)
• The test set is uncategorized

*"supervised learning"

Good uses of ML

Scary uses of ML

good and bad?

MIT students used an algorithm to optimize school bus routes

DIY Machine Learning is hard

you need a lot of firepower & skillz

probably not!

might be!

takePhoto() {
        
        const options: camera.CameraOptions = {
            width: 300,
            height: 300,
            keepAspectRatio: true,
            saveToGallery: false
        };

        camera.takePicture(options)
        .then((imageAsset: ImageAsset) => {
            this.processRecipePic(imageAsset);
        }).catch(err => {
            console.log(err.message);
        });
    
    }

    public queryClarifaiAPI(imageAsBase64):Promise<any>{
        return http.request({
            url: AuthService.clarifaiUrl,
            method: "POST",
            headers: {
                "Content-Type": "application/json",
                 "Authorization": "Key " + AuthService.clarifaiKey,
            },
            content: JSON.stringify({
                "inputs": [{
                    "data": {
                        "image": {
                            "base64": imageAsBase64
                        }
                    }
                }]
            })
        })
      .then(function (response) {
          return response
        }
      )}

.then(res => {
   this.loader.hide();
      try {
          let result = res.content.toJSON();
          let tags = result.outputs[0].data.concepts.map( mc => mc.name + '|' + mc.value );
          let ingredients = [];
          tags.forEach(function(entry) {
              let prob = entry.split('|');
              prob = prob[1];
              let ingred = entry.split('|');
                 if(prob > 0.899){
                    ingredients.push(ingred[0])
                 }
                                    
              });
            //there should be between four and eight discernable ingredients                     
            if (ingredients.length >= 4 && ingredients.length <= 8) {
               alert("Yes! This dish might qualify as a QuickNom! It contains "+ingredients)
            }
            else {
               alert("Hmm. This recipe doesn't have the qualifications of a QuickNom. 
                    Try again!")
            }
       }

if between 4 & 8 ingredients are listed with over .899 certainty,

it's a QuickNom!

QuickNom dishes have a few easy-to-see, simple ingredients

Use Google's Vision API to match images with recipes

• Label Detection
• Explicit Content Detection
• Logo Detection
• Landmark Detection
• Face Detection
• Web Detection (search for similar)

takePhoto() {
        
        const options: camera.CameraOptions = {
            width: 300,
            height: 300,
            keepAspectRatio: true,
            saveToGallery: false
        };

        camera.takePicture(options)
        .then((imageAsset: ImageAsset) => {
            this.processItemPic(imageAsset);
        }).catch(err => {
            console.log(err.message);
        });
    
    }

public queryGoogleVisionAPI(imageAsBase64: string):Promise<any>{
        return http.request({
            url: "https://vision.googleapis.com/v1/images:annotate?key="+AuthService.googleKey,
            method: "POST",
            headers: {
                "Content-Type": "application/json",
                "Content-Length": imageAsBase64.length,
            },
            content: JSON.stringify({
                "requests": [{
                "image": {
                "content": imageAsBase64 
                },
                "features" : [
                    {
                        "type":"LABEL_DETECTION",
                        "maxResults":1
                    }
                ]                      
            }]
        })
      })
      .then(function (response) {
          return response
        }
      )}

this.mlService.queryGoogleVisionAPI(imageAsBase64)
    .then(res => {
        let result = res.content.toJSON();
        this.ingredient = result.responses[0].labelAnnotations.map( mc => mc.description );                                                               
        this.ngZone.run(() => {
            this.searchRecipes(this.ingredient)
        })
    });

DIY machine learning

made a little easier!

Just landed in iOS 11: Core ML

Train a model, let Core ML process it for your app on device

TensorFlow Mobile

Designed for low-end Androids, works for iOS and Android

TensorFlow on iOS