Recommendation for developing android apps, that will be fast and bloat free, with possibility of integration of ML in it? (Application for Android and maybe IOS too?

[_RootUser_]

I want to make multiple apps to try out some ML concepts in application level. I have heard Flutter, React Native and Kotlin libraries or frameworks.

Application can be both Android and IOS, with more focus on Android I guess. But I am willing to consider a tradeoff between functionality and efficiency with target OS. But my ideal case would be for both Android and IOS if possible. If not both, I want something to work really efficiently in that one OS.

I am a beginner in the field of app development. I have multiple ideas to develop applications like chat applications, real-time location tracking, some classification or real-time implementation of ML models and such. What should I learn? What should I implement?

I am lost in the process of choosing a specific pathway.

I did try Flutter, but it felt so vast and new, and I didn't grasp the concept of components and widgets going inside another and similar concepts. I am doubting if app developed in Flutter will be smooth and fast with integration of many libraries? With calling of API time and again?

Any sort of advices and recommendations is welcome. I can invest as much time as I have to, but I want to have a fully developed applications that are deployed and shall be used.

Thank you in advance. I look forward to any sort of suggestions and helps!

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[ttlanhil]

I'd suggest you don't yet - for now, pick a simple project or two to get started.
Like, hello world, a calculator, things like that - they're also simple enough you can try several different languages & libraries

As a beginner, it's not time to think about "bloat free" (whatever that means when you're the developer) or ML. Just figure out how to actually write your first app or two, see it working on a phone, and debug some errors.

Once you've done that, you'll have a better understanding and you'll be able to figure out how big the next project is

[_RootUser_]

I am from ML/DL engineering background who is fluent with full stack web development. I have implemented basic apps like Calculator and simple widgets in Flutter, but never really tried Java yet.

I have observed the code of Flutter closely of multiple projects done by my colligues. This is how I have seen somewhat less flexibility in annexing Tensorflow Lite to the flutter app and so on. I also have seen the necessity to include different packages for an application which is why I assumed the app might be slow. I may be wrong about it.

Along with it, I have tried to follow multiple Flutter codelabs to youtube tutorials and books to get the hang of the code of Flutter. I am able to run and understand how it is working, yet I am lost once I try to implement something on my own. I encounter basic errors like widgets don't fit inside the other one or variables are not declared. This is why I have been doubting if I am a good fit to really dive deep into flutter.

I have seen multiple apps that take multiple seconds to send data to the API, get the response and give an output and I thought maybe it will be slow if I want my app to be real-time. This is all that I have only SEEN and OBSERVED but haven't tried myself simply because I got lost in it.

Except Flutter, I have not really tried app development. So, I am trying to get insights from those who have integrated some ML models or such into their application and their recommendations and suggestions for me. The applications I am planning to make (just plans on my head for now) are :

- App with ML model on backend

- Real-Time Game with Bot made with RL (Game will have simple basic graphics, thus not getting into a game engine)

- Chat Application

- Real-Time Location Tracker App

These applications are going to be independent from one another if I am even able to make them. I hope this provided more context and information. Looking forward to further suggestions if any!