Mobile Developer (Flutter) + Computer Vision (OpenCV/YOLOv8) – MVP App Project

We are building a mobile app that combines camera-based object detection with strategic game logic. The app allows users to take a photo of a tabletop layout and receive feedback and visual guidance.

We’re looking for a reliable and skilled developer (or small team) with experience in:
• Mobile development using Flutter (for iOS & Android)
• Computer Vision using OpenCV, YOLOv8, or similar frameworks
• Building MVPs or prototyping AI-assisted mobile apps

This is a paid, contract-based role with the potential for long-term collaboration if the MVP performs well.

????? Responsibilities:
• Integrate mobile camera input and image capture
• Detect key objects from images using trained or pretrained CV models
• Overlay basic visual feedback onto the image (ball markers, guides, arrows)
• Process layout and implement basic rules logic for pattern suggestion
• Build smooth, branded UI screens (photo, results, settings)
• Provide clean and documented source code

Required Skills:
• Proficient in Flutter/Dart
• Experience with OpenCV, YOLOv8, or similar object detection models
• Familiarity with Firebase or Supabase (auth, simple storage)
• Experience integrating simple visual overlays (lines, shapes)
• Good written English for communication
• Trustworthy, deadline-focused, and able to work independently
Nice to Have (Not Required):
• Experience building apps in sports, games, or training tools
• Experience with AI planning, decision trees, or basic game logic
• AR or camera overlay experience

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???? Timeline & Budget:
• Looking to start as soon as possible
• Project estimated to take 6–10 weeks
• Budget: PHP equivalent of AUD $15,000–$30,000, depending on scope and your skills