Flutter Developer for Face and Liveliness Detection
Budget: $30 – $250 USD
We are looking for a skilled Flutter developer to join our team to develop a face and liveliness detection feature in our mobile app. The app is built using Flutter and we want to add this feature to enhance the app's security and user experience.
The successful candidate will be responsible for developing a robust face detection algorithm that can accurately detect human faces in real-time. In addition, the algorithm should be able to detect liveness and ensure that the face is not a static image or video.
Responsibilities:
Develop a face detection algorithm that can accurately detect human faces in real-time
Implement liveness detection to ensure that the face is not a static image or video
Develop a user-friendly interface for the feature within the Flutter app
Ensure that the feature is optimized for performance and battery usage
Test and debug the feature to ensure that it works reliably in different lighting conditions and on different devices
Write clean, well-documented, and maintainable code
Collaborate with other team members to ensure that the feature is integrated seamlessly into the app
Requirements:
Strong experience in developing Flutter mobile applications
Experience in developing face detection and liveness detection algorithms
Strong understanding of image processing and computer vision techniques
Good knowledge of machine learning and deep learning frameworks
Experience in integrating third-party libraries and APIs
Strong debugging and problem-solving skills
Excellent communication and teamwork skills
If you are a passionate Flutter developer with experience in developing face detection and liveness detection algorithms, we would like to hear from you. Please submit your application with your resume, portfolio, and expected rate.
The successful candidate will be responsible for developing a robust face detection algorithm that can accurately detect human faces in real-time. In addition, the algorithm should be able to detect liveness and ensure that the face is not a static image or video.
Responsibilities:
Develop a face detection algorithm that can accurately detect human faces in real-time
Implement liveness detection to ensure that the face is not a static image or video
Develop a user-friendly interface for the feature within the Flutter app
Ensure that the feature is optimized for performance and battery usage
Test and debug the feature to ensure that it works reliably in different lighting conditions and on different devices
Write clean, well-documented, and maintainable code
Collaborate with other team members to ensure that the feature is integrated seamlessly into the app
Requirements:
Strong experience in developing Flutter mobile applications
Experience in developing face detection and liveness detection algorithms
Strong understanding of image processing and computer vision techniques
Good knowledge of machine learning and deep learning frameworks
Experience in integrating third-party libraries and APIs
Strong debugging and problem-solving skills
Excellent communication and teamwork skills
If you are a passionate Flutter developer with experience in developing face detection and liveness detection algorithms, we would like to hear from you. Please submit your application with your resume, portfolio, and expected rate.