Offline Flutter Facial Recognition App
Budget: $10 – $30 USD
I'm looking for a Flutter developer who can build an offline facial recognition app. The app will capture facial images through the device's camera and compare them to an existing image. If the images match, the app will mark the user as 'verified', if not, 'unverified'.
Key Features:
- Image capturing: The app should be able to capture facial images through the device's camera.
- Image comparison: The app needs to compare the captured image with an existing one.
- Verification status display: The app should display whether the user is 'verified' or 'unverified'.
Database:
- The app should use SQLite to store the existing images.
User Management:
- The app will not need to support multiple facial images for each user, only one.
Ideal Skills:
- Extensive experience with Flutter is a must.
- Proficiency in implementing facial recognition technology.
- Solid understanding of SQLite for offline data storage.
- Capability to develop a user-friendly interface that clearly displays verification statuses.
Key Features:
- Image capturing: The app should be able to capture facial images through the device's camera.
- Image comparison: The app needs to compare the captured image with an existing one.
- Verification status display: The app should display whether the user is 'verified' or 'unverified'.
Database:
- The app should use SQLite to store the existing images.
User Management:
- The app will not need to support multiple facial images for each user, only one.
Ideal Skills:
- Extensive experience with Flutter is a must.
- Proficiency in implementing facial recognition technology.
- Solid understanding of SQLite for offline data storage.
- Capability to develop a user-friendly interface that clearly displays verification statuses.