Summary About the Project We're looking for an experienced Android developer to help build AI-powered mobile applications. The work involves integrating machine learning models for real-time detection and analysis, both running locally on-device (offline) and via cloud APIs. Note: Your task will be integration of AI models in app architecture but its nice to have knowledge about AI models. What You'll Be Working On Integrating custom detection models (YOLO, TensorFlow Lite, ONNX) into Android apps Implementing on-device inference for offline functionality Connecting apps to AI APIs for cloud-based processing Optimizing model performance for android mobils(Snapdragon 6 cpus etc.) Building clean UI to display detection results in real-time Required Skills Strong Android development experience (Kotlin/Java/Flutter) Hands-on experience with ML model integration (TFLite, ONNX Runtime, MediaPipe, or similar) Experience with REST APIs and handling async operations Understanding of camera integration and real-time video processing Nice to Have Experience with sports or video analysis apps Background in computer vision Published apps with AI/ML features Test Task ($50 Paid) Before starting the main project, there's a short paid test task: integrate a provided detection model into a basic Android app with real-time camera preview. This helps us assess your skills and working style. To Apply Share relevant projects or apps where you've integrated AI/ML Briefly describe your experience with on-device model deployment Mention your availability and hourly rate Looking forward to working with a skilled developer who's excited about AI on mobile! In your reply add the following: 1. Your Github 2.Past projects 3.Why are you a good fit for this project.