I will develop a flutter mobile app with ai integration and llms


About this gig
Production-Ready Apps: Clean Flutter/Dart code for iOS & Android Responsive UI/UX with smooth animations Secure REST/GraphQL API & backend integration Optimized state management (Riverpod/Bloc) Rigorous QA testing & deployment prep
Advanced AI Features: LLM chatbots via OpenAI/Gemini/Claude Predictive analytics & user behavior modeling Image/voice processing (OCR, speech-to-text) Automated workflows & smart recommendations On-device ML with TensorFlow Lite for offline, low-latency AI
️ Expert Workflow & Security: 5+ years in AI-mobile development Agile delivery with weekly demos & Git versioning Enterprise-grade security (JWT/OAuth/encryption) Scalable, modular architecture
Post-Launch Support: 30-day bug-fix coverage Full source code & IP handoff Transparent, milestone-driven communication
Next Steps: Select a package to start building your intelligent app, or message me for a customized project roadmap and technical consultation.
Get to know Muhammad
Flutter Mobile App Developer, Firebase, State Management
- FromPakistan
- Member sinceDec 2025
- Avg. response time1 hour
Languages
Urdu, English, Arabic
My Portfolio
FAQ
Do I need to pay for AI API usage separately?
Yes. Development covers architecture and integration. Third-party AI providers (OpenAI, Google, Anthropic) use their own pay-as-you-go pricing. I’ll architect token-efficient prompts and help you forecast monthly operational costs.
Will I receive full source code and intellectual property?
Absolutely. Upon final delivery, you get 100% ownership of the Flutter/Dart source code, design assets, documentation, and build files. The code is delivered unobfuscated and ready for handoff or in-house scaling.
Can the app run AI models offline for privacy and speed?
Yes. I specialize in deploying optimized on-device ML using TensorFlow Lite and Core ML. This removes cloud dependency, eliminates latency, and ensures sensitive user data never leaves the device.
What if my project requires a complex custom backend later?
Every package uses modular, decoupled architecture. I can seamlessly integrate Firebase, Supabase, or a custom Python/Node backend in future sprints without refactoring your existing mobile code.
How do you handle App Store/Play Store approval and policy rejections?
I design apps to strictly follow Apple & Google guidelines (privacy manifests, permission handling, data security). If a submission is flagged, I’ll resolve compliance issues, adjust architecture if needed, and resubmit at no extra cost.

