AI-Powered Android APP Development
Budget: $15 – $25 USD
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.
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.