I will build mobile computer vision and edge ai apps


About this gig
Stop paying for expensive cloud servers to run your AI.
Cloud-based AI processing introduces high latency and requires constant internet. Real-time apps demand on-device execution.
I build native mobile apps, specifically engineered to handle Computer Vision and Machine Learning tasks directly on users' phones (Edge AI). By utilizing ONNX Runtime, OpenCV, and writing custom native C++ bridges (JNI/JSI), I ensure your app performs heavy visual tasks in real-time.
Services:
- Edge AI Integration: Running custom models on-device via ONNX.
- Custom Native Bridges: High-performance C++ layers to bypass JavaScript bottlenecks.
- Mobile Computer Vision: Real-time camera processing with native OpenCV.
- Spatial & AR Tracking: Infrastructure for visual localization and SLAM on mobile.
Please contact me before placing an order to discuss your project specifics and get a precise quote.
Looking forward to working with you and bringing your ideas to life!
Get to know Yagiz Cem K.
Computer Vision, 3D Graphics, HPC Engineer
- FromTurkey
- Member sinceJun 2023
- Avg. response time1 hour
- Last delivery5 months
Languages
English, Turkish
FAQ
Why run AI on the phone instead of a server?
It eliminates server costs, works offline, and provides zero-latency real-time video processing.
What format does my AI model need to be in?
Standard PyTorch or TensorFlow models are too heavy for mobile. Your model needs to be converted and optimized into a mobile-friendly format, primarily ONNX or TensorFlow Lite. If you only have the PyTorch model, I can handle the export and optimization process.
Will the app work without an internet connection?
Completely. That is the primary advantage of Edge AI. The model runs locally on the user's mobile processor, ensuring absolute privacy and zero latency without needing any cloud server API calls.
