Isaias Awate

Isaias Awate

1591604520

InstaKnow App Build with Flutter

InstaKnow

Front-end By @ketanchoyal

Back-end By @namas191297

Front-end Application

Flutter application that allows user to analyze sentiments of other users based on their captions. This application uses a Machine Learning NLP approach to analyze captions and provide positive, negative and neutral scores as the output.

The flutter application uses Provider + Get_it for State Management.

MVVM(Model-View-(View)Model) Architecture has been used.

Note: In About Page url for server can be changed (because of free version URL may change after some time)

Screenshots

HomeScreen

Home_Screen

App UI Demo

App_UI

Public Profile Analyzer

Analyzer

Private Profile Analyzer

PAnalyzer

Example

Example

Back-end

InstaKnow is an open-source mobile application that allows you to analyse the sentiments of public and private profiles based on their post captions.

This repository is the backend/REST API for the application, where all requests from the application are received in the form of a JSON object. After the sentiment analysis is done, and the sentiments are evaluated, these results are sent in the form of JSON back to the application, where they are displayed.

The backend has been made in python, where the REST API is served as a Flask web-application. The web-application can be hosted temporarily using ngrok or any other viable option.

The ML implementation is that of NLP (Natural Language Processing), where the captions are analysed using the Vader Sentiment Analysis library. Scores are received in the form of positive, negative, neutral and compound values, after which their mean is sent back to the front-end application where they are displayed.

Public profiles do not require any authentication although if you want to view the sentiments of a private profile, you must provide credentials for an account that can access that private profile (follows it) for authenticated access in order to extract the captions.

JSON

As mentioned above, this repo is a REST API that communicates using JSON objects.

JavaScript Object Notation (JSON) is an open-standard file format that uses human-readable text to transmit data objects consisting of attribute?value pairs and array data types (or any other serializable value). It is a very common data format, with a diverse range of applications. Such as serving as replacement for XML in AJAX systems.

An example:

{
  "squadName": "Super hero squad",
  "homeTown": "Metro City",
  "formed": 2016,
  "secretBase": "Super tower",
  "active": true
}

Data Format

The format in which data is transferred can be seen as follows:

Application to Server :

  • Public profile
{
  "type":"Public",
  "login_id":"some_public_username"
}
  • Private profile
{
  "type":"Private",
  "login_id":"some_private_username",
  "login_username":"username_for_authentication",
  "password":"password_for_authentication"
}

Server to Application:

  • Success:
{
  "type":"Success",
  "Value":result,
  "Picture":profile_picture_link,
  "Name":full_name_of_profile
}
  • Fail:
{
  "type":"Fail",
  "Value":error_message,
}

Installation and Execution

Download or clone the repository in a directory and cd into folder containing the file app.py.

  • Set the FLASK environment variable FLASK_APP to the name of the python file as follows in the terminal (for Windows):
set FLASK_APP=app.py 
  • Run the flask app using the following command:
flask run 

Prospective Changes

  • Adding encryption to ensure user security while analyzing private profiles

  • Analysis based on comments of other followers on the user’s posts

  • Permanent deployment as a web-service on platforms like AWS instead of using ngrok.

  • Checking policies and ensuring that publishing this application to the playstore/appstore should not cause instagram policy-violation due to web-scraping.

Download Details:

Author: ketanchoyal

GitHub: https://github.com/ketanchoyal/InstaKnow

#flutter #dart #mobile-apps

What is GEEK

Buddha Community

InstaKnow App Build with Flutter

Google's Flutter 1.20 stable announced with new features - Navoki

Flutter Google cross-platform UI framework has released a new version 1.20 stable.

Flutter is Google’s UI framework to make apps for Android, iOS, Web, Windows, Mac, Linux, and Fuchsia OS. Since the last 2 years, the flutter Framework has already achieved popularity among mobile developers to develop Android and iOS apps. In the last few releases, Flutter also added the support of making web applications and desktop applications.

Last month they introduced the support of the Linux desktop app that can be distributed through Canonical Snap Store(Snapcraft), this enables the developers to publish there Linux desktop app for their users and publish on Snap Store.  If you want to learn how to Publish Flutter Desktop app in Snap Store that here is the tutorial.

Flutter 1.20 Framework is built on Google’s made Dart programming language that is a cross-platform language providing native performance, new UI widgets, and other more features for the developer usage.

Here are the few key points of this release:

Performance improvements for Flutter and Dart

In this release, they have got multiple performance improvements in the Dart language itself. A new improvement is to reduce the app size in the release versions of the app. Another performance improvement is to reduce junk in the display of app animation by using the warm-up phase.

sksl_warm-up

If your app is junk information during the first run then the Skia Shading Language shader provides for pre-compilation as part of your app’s build. This can speed it up by more than 2x.

Added a better support of mouse cursors for web and desktop flutter app,. Now many widgets will show cursor on top of them or you can specify the type of supported cursor you want.

Autofill for mobile text fields

Autofill was already supported in native applications now its been added to the Flutter SDK. Now prefilled information stored by your OS can be used for autofill in the application. This feature will be available soon on the flutter web.

flutter_autofill

A new widget for interaction

InteractiveViewer is a new widget design for common interactions in your app like pan, zoom drag and drop for resizing the widget. Informations on this you can check more on this API documentation where you can try this widget on the DartPad. In this release, drag-drop has more features added like you can know precisely where the drop happened and get the position.

Updated Material Slider, RangeSlider, TimePicker, and DatePicker

In this new release, there are many pre-existing widgets that were updated to match the latest material guidelines, these updates include better interaction with Slider and RangeSliderDatePicker with support for date range and time picker with the new style.

flutter_DatePicker

New pubspec.yaml format

Other than these widget updates there is some update within the project also like in pubspec.yaml file format. If you are a flutter plugin publisher then your old pubspec.yaml  is no longer supported to publish a plugin as the older format does not specify for which platform plugin you are making. All existing plugin will continue to work with flutter apps but you should make a plugin update as soon as possible.

Preview of embedded Dart DevTools in Visual Studio Code

Visual Studio code flutter extension got an update in this release. You get a preview of new features where you can analyze that Dev tools in your coding workspace. Enable this feature in your vs code by _dart.previewEmbeddedDevTools_setting. Dart DevTools menu you can choose your favorite page embed on your code workspace.

Network tracking

The updated the Dev tools comes with the network page that enables network profiling. You can track the timings and other information like status and content type of your** network calls** within your app. You can also monitor gRPC traffic.

Generate type-safe platform channels for platform interop

Pigeon is a command-line tool that will generate types of safe platform channels without adding additional dependencies. With this instead of manually matching method strings on platform channel and serializing arguments, you can invoke native class and pass nonprimitive data objects by directly calling the Dartmethod.

There is still a long list of updates in the new version of Flutter 1.2 that we cannot cover in this blog. You can get more details you can visit the official site to know more. Also, you can subscribe to the Navoki newsletter to get updates on these features and upcoming new updates and lessons. In upcoming new versions, we might see more new features and improvements.

You can get more free Flutter tutorials you can follow these courses:

#dart #developers #flutter #app developed #dart devtools in visual studio code #firebase local emulator suite in flutter #flutter autofill #flutter date picker #flutter desktop linux app build and publish on snapcraft store #flutter pigeon #flutter range slider #flutter slider #flutter time picker #flutter tutorial #flutter widget #google flutter #linux #navoki #pubspec format #setup flutter desktop on windows

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