AI-Based Facial Recognition for Customer Verification
Budget: $5,000 – $10,000 USD
Skilled Biometric/AI expert to build AI model to capture selfies, test liveliness, compare with still photos received via API, and score the result. The service will be offered to our merchants to use to verify customers during onboarding. Merchants and system admin will have admin panels to view activities. No time wasters
Please read the attached document where we answer all questions and how to bid.
I am in need of a highly skilled biometric and AI expert to develop an AI model that captures selfies, assesses liveliness, compares them with still photos received through an API, and scores the outcome. This service will be provided to our merchants for customer verification during onboarding.
Key Features of the AI Model:
- Liveness Detection: I need the model to determine if the selfie being taken is from a live person to prevent spoofing attacks.
- Image Quality Assessment: The model should be able to assess the quality of the images to ensure they meet a certain standard for verification.
- Facial Expression Analysis: The model should also be able to interpret and analyze facial expressions to add an additional layer of assessment.
The primary integration method for this AI model will be through an API service. Therefore, prior experience with API development and integration is crucial. The ideal candidate should have a strong background in implementing facial recognition technology and developing AI models, particularly for biometric data.
Please read the attached document where we answer all questions and how to bid.
I am in need of a highly skilled biometric and AI expert to develop an AI model that captures selfies, assesses liveliness, compares them with still photos received through an API, and scores the outcome. This service will be provided to our merchants for customer verification during onboarding.
Key Features of the AI Model:
- Liveness Detection: I need the model to determine if the selfie being taken is from a live person to prevent spoofing attacks.
- Image Quality Assessment: The model should be able to assess the quality of the images to ensure they meet a certain standard for verification.
- Facial Expression Analysis: The model should also be able to interpret and analyze facial expressions to add an additional layer of assessment.
The primary integration method for this AI model will be through an API service. Therefore, prior experience with API development and integration is crucial. The ideal candidate should have a strong background in implementing facial recognition technology and developing AI models, particularly for biometric data.