Face-Recognition Mobile App Development

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