Mobile App Developer for Face-Scanning Application (2-3 Week MVP) Project Description: We are seeking an experienced mobile developer to build an MVP for a fun,engaging face-scanning application. The app will use device camera capabilities with specific facial recognition features to deliver personalized feedback to users. This is a time-sensitive project with potential for future collaboration if the MVP performs well. Core Technical Requirements: 1. Face Scanning with Head Movement Detection: · Implement camera interface that guides users through head rotation (left/right movement) · Professional UI/UX similar to identity verification processes · Real-time facial landmark detection and pose estimation · Technology consideration: Google ML Kit Face Detection for head pose estimation (pitch, yaw, roll) or equivalent SDK · Visual feedback during scanning process (progress indicators, animations) 2. AI Integration & Response System: · Capture and process facial image data · Integrate with AI API (options: DeepSeek, OpenAI, or similar cost-effective solution) for analysis · Categorize results into predefined groups (minimum 3 categories) · Play appropriate audio responses based on categorization · Include 15-25 total pre-recorded audio responses (distributed across categories) 3. App Framework & Features: · Cross-platform development required (iOS & Android) · Preferred: Flutter framework (React Native considered with strong justification) · Basic rewarded ad integration (Google AdMob) · Social sharing capability (results export) · Simple, clean UI with smooth animations · Privacy policy integration and disclosures Technical Specifications: · Must use existing libraries/SDKs to accelerate development · Face detection should prioritize on-device processing where possible · Ad implementation ready for monetization · Code must be clean, documented, and scalable · Performance optimization for various devices Project Timeline (2-3 Weeks Total): · Week 1: Core scanning functionality with head movement tracking · Week 2: AI integration, categorization system, audio responses · Week 3: Ad integration, testing, optimization, deployment preparation Required Developer Experience: · Proven experience with Flutter or React Native (portfolio required) - if this is the · Previous work with facial recognition/face detection SDKs · Experience integrating AI/ML APIs into mobile applications · Ad network implementation (AdMob, etc.) · App store submission experience (both iOS and Android) Ideal Candidate Will Have: · Experience with Google ML Kit, Apple Vision Framework, or similar face detection technologies · Understanding of head pose estimation and facial landmark detection · Experience with audio implementation in mobile apps · Previous work on camera-intensive applications · Good communication skills and ability to meet tight deadlines Deliverables: 1. Complete source code with documentation 2. Build files for both platforms (APK & IPA) 3. Testing on multiple devices 4. Guidance for app store submission 5. Recommendations for scaling and future development Application Instructions: Please include in your proposal: 1. Links to relevant previous work (especially camera/face detection projects) 2. Specific experience with face detection SDKs (Google ML Kit, etc.) 3. Your proposed technical approach for head movement detection 4. Estimated timeline for this 2-3 week project 5. Any questions or clarifications needed