In flutter,How to design an app walkthrough using flutter_intro package? - flutter

I’m new in flutter. Recently I wanted to add app walkthrough for new users in the first log in in app. After many research, I find a package called flutter_intro( https://pub.dev/packages/flutter_intro). But reading the documentation, I find it difficult to understand it properly.but I want to do exact feature in my app what flutter_intro package do. You can suggest me any other packages like this.
It would be appreciated if anyone could help me regarding this by example.

You can use showcaseview package which is easy to use and has very good documentation

Related

Is it possible to draw polygons on maps using the flutter_map package?

I have an application where I need to highlight some states of the country with different colors. Is it possible to do this, using the flutter_map package?
I'm new to flutter, I apologize. But I've searched the library documentation and various places and haven't found anything that can help me.
Sorry for the late response.
If you haven't found it already, or for anyone else looking, have a look at the new documentation website: https://docs.fleaflet.dev/usage/layers/polygon-layer.
If you need more help with this package, we'd love to help you on the Discord server (see the README for the join link).

Flutter Onboarding User Walkthrough

I've seen a lot of flutter packages for onboarding users which are basically no more than just a slide deck. For example here is one: https://pub.dev/packages/introduction_screen
However, I am looking for something a bit more interactive. I'd like for the user to follow along with the tutorial. I've seen onboarding handled this way in a lot of websites, such as seen below:
Is there a pre-built package or easy way to mimic this type of interactive, user onboarding process in flutter?
Thanks in advance.
There is a package tutorial_coach_mark: that you can use to create a beautiful and easy tutorial for your application. It'll help you in a more interactive onboarding.
Check it out here: https://pub.dev/packages/tutorial_coach_mark
There is also another package: highlighter_coachmark:
but it might not be null safe.
If you don't want to rely on external packages, I'll recommend looking up this answer

is there any way to deploy custom ML models in flutter?

I am trying to create a flutter app using the ML model from the below link.
https://www.tensorflow.org/lite/models/style_transfer/overview
I haven't played with Flutter but there are some promising articles article 1 article 2 article 3 that gives code snippets to insert tensorflow lite dependencies, to make assets folder and load models. You can check them and I hope you get a first idea how to proceed. Style transfer is a medium to hard coding project though. I suggest to start from simpler tasks as classification problems.
Happy coding
I have used this style_transfer model in flutter app before. unfortunately, I've lost that code (I did not use git). But I can give suggestions on that.
For using this custom model you will have to use https://pub.dev/packages/tflite_flutter.
The trick here is you will have to see model's input shape (image_shape=(384,384,3), style_shape=(256,256,3) and output size (shape=(384,384,3) and also shape of bottleneck). You can resize image using https://pub.dev/packages/image.
with these two, you are good to go. Sorry for bad english and I know I am too much late but maybe someone else will find it useful.
Happy coding!
Edited: So I have found the code. I stored a copy of it in my google drive. I have uploaded it on github https://github.com/Rizwan2613/style-transfer. Please do read Readme file. Thanks
There is a recently published flutter plugin for integrating an arbitrary TFLite model.
https://pub.dev/packages/tflite_flutter
Please see the README of the pub package and see how you can bundle the .tflite models and how to load / run them in flutter.
There is a blog post on how to use this flutter plugin, but it uses a different model (text classification) as an example.
https://medium.com/#am15hg/text-classification-using-tensorflow-lite-plugin-for-flutter-3b92f6655982
You can upload custom tensorwflow model to firebase ML KIT (custom tab), and integrate with firebase API in your flutter project.

Can you tell me more about global configuration

I have read in flutter.dev about global_configuration it is:
"A flutter package for managing different configurations by merging them together and making them available everythere inside the app via a singleton."
this link of global_configuration library
but honestly i didn't understand much about what the library dose i searched in youtube and google didn't find much about it if you can tell me where to use it and what its benefit i would very glad and thank you..

How to create chart application in iphone

I'm assigned with new task for creating chart application in iphone like.,(BarChart,PieChart,etc..,).But,i have no idea for chart application in iphone.Please anyone help me out to guide me to start chart application in iphone.If any of the frameworks or API used for this kind of chart application means please explain that also.
Give a shot to:
Core-Plot Framework
To get it working, read here.
You can also see the accepted answer of this SO question.
For a little bar-chart tutorial go here.
There is also:
s7graphview less features but It's an option.
If you can rely on the web, although it's a far from optimal solution, you can embed a UIWebView in your application, and use the Google Graph Visualization API or you can use a UIWebView with an HTML5 graph library lake rgraph. Look here for a jQuery based solution. Filament Group made also this one.
At the and some sample code from Apple (Accelerometer Graph).
A commonly used Cocoa "native" charting library is core-plot. Whilst I've yet to personally use it, it seems to be quite popular and is under active development.
Here you go, but next time please use the search function first:
http://code.google.com/p/core-plot/
Cocoa Graphing/Plotting Framework that Works on iPhoneOS
A popular one is core plot. http://code.google.com/p/core-plot/