I will develop a cross platform mobile app with on device ai


About this gig
Looking to build a stunning mobile app? We specialize in iOS and Android development using Flutter and React Native including production on-device AI that runs directly on the device without cloud dependency.
Our team has 5+ years of experience ready to bring your idea to life.
What we offer:
Mobile App Design, iOS Development, Android Development, On-Device AI Integration, Web Development, Desktop App Development
Our Expertise:
E-Commerce, Social Media, Sports Apps with AI player tracking, Chat, Fitness, On-Demand, Ride Sharing, Doctor/Salon Booking, Streaming, Payment Integration, GPS Tracking, Firebase, Computer Vision and Real-Time AI Inference, Offline AI without internet, Custom YOLO Model Integration
Why us:
- 5+ years experience
- Expert in on-device AI using NCNN and TensorFlow Lite
- Production apps with real-time computer vision at 30+ FPS
- Same AI model deployed on both Android and iOS
- Open source contributions
- Expert UI/UX design
Most mobile developers build standard apps. We build apps where AI runs on the device itself no cloud, no latency, no API costs.
Reach out now to discuss your project.
Get to know Abdul M
Code, deploy, optimise I do it all! Python, C, CPP, Java, Flask, AI, C
- FromPakistan
- Member sinceSep 2020
- Last delivery3 months
Languages
Urdu, English
My Portfolio
FAQ
What is on-device AI and why does it matter for my app?
On-device AI means the AI model runs directly on the user's phone without sending data to a server. The result is faster response times, no internet dependency, lower cost since there are no API fees per use, and better privacy since user data never leaves the device.
Which platforms do you build for?
We build for Android and iOS. We use Flutter and React Native for cross-platform development so you get both platforms from a single codebase, reducing cost and development time.
What kind of AI can you integrate on-device?
Object detection, image classification, pose estimation, movement analysis, real-time computer vision, and custom YOLO models. We use NCNN and TensorFlow Lite for on-device inference optimized for mobile hardware.
Q4: Do I need to provide the AI model or do you build it?
Both options are available. If you have an existing model we can integrate and optimize it for mobile deployment. If you need a custom model trained from scratch we can handle that as well.
Q5: Will the AI work without an internet connection?
Yes. On-device AI runs entirely offline. The model lives on the device and processes data locally without any network dependency.
Q6: How long does it take to build a mobile app with on-device AI?
A standard mobile app takes four to eight weeks depending on complexity. Adding on-device AI typically adds one to two weeks for model optimization, integration, and performance testing on real devices.
Q7: What is your development process?
We start with a requirements session to understand your idea fully. Then we produce wireframes and design mockups for your approval before writing any code. Development happens in milestones with regular updates. You see progress throughout, not just at the end.
Q8: Will my app be submitted to the App Store and Google Play?
Yes. We handle the full submission process including App Store and Google Play setup, compliance requirements, and deployment. You own the developer accounts and all source code.
Q9: Do you provide support after the app is launched?
Yes. We offer ongoing maintenance and support after launch. Bug fixes, performance updates, and new feature additions are all available as a continued engagement.
Q10: What information do you need to get started?
A brief description of your app idea, your target platform preference, any design references you like, and your timeline. We handle everything from there

