Cross-Platform AI Camera App (iOS + Andr

Overview:

Seeking an experienced AI Mobile Developer to create a real-time object detection app using a smartphone camera. The app will identify small physical imperfections or anomalies in items captured through the camera and visually highlight them for the user.

This project involves integrating a trained AI model (YOLOv8, EfficientDet, or similar) optimized for on-device performance and building a smooth mobile experience for both Android and iPhone.

Requirements:

Strong experience with computer vision (object detection/segmentation)
Mobile development (Flutter, Swift, or React Native)
Knowledge of TensorFlow Lite / CoreML / ONNX model optimization
Real-time camera feed + overlay UI
Ability to train or fine-tune models on provided image data

Deliverables:

MVP mobile app (iOS + Android)
On-device AI inference
Annotated detection overlay
Export / save functionality
Documentation & model integration guide

Budget & Timeline:

Timeline: 4–6 weeks
Budget: Open (based on experience and delivery plan)

To Apply:

Please include:

Past AI/Computer Vision app experience (portfolio or screenshots)
Preferred tech stack
Estimated cost and timeline for MVP

Note:
Full project details (including training data and detection goals) will only be shared after an NDA (Non-Disclosure Agreement) is signed.


Flutter, React Native, iOS Development, Android Development, Artificial Intelligence (AI), Machine Learning, Computer Vision, Object Detection, TensorFlow Lite, Core ML, OpenCV, PyTorch, Image Recognition, Model Optimization, Firebase.



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