Summary

Process

FAQs

• What kind of ML features can you build into the app?

  Common use cases include image classification, object detection, sentiment analysis, text classification, activity recognition, recommendation engines, and personalization.

• Can you train the ML model for me too?

  Yes. I can create models using Create ML or adapt pre-trained models to your app’s needs.

• Will the ML features work offline?

  Yes! That’s one of the key benefits of Core ML — inference happens entirely on-device for speed and privacy.

• Can you help if I already have a model in TensorFlow or PyTorch?

  I can convert models to Core ML format (via CoreMLTools) and optimize them for iOS deployment.

• Is this suitable for MVPs or production apps?

  Both! I can help validate your ML concept in an MVP or fully integrate it into a production-grade app.

• Do you handle the design as well?

  In my profile you can find a service that includes both development and design.

• What happens after launch?

  I will provide an additional 2 weeks support, updates, and assist you in planning your next steps based on real user feedback. Your success is my top priority.