www.siyou365.com/en/cases/changzhongbao/
Changzhongbao — AI Digital-Human Companion App

Background

When children live far away, phone calls cannot really fill the gap: video calls have to be scheduled, voice assistants speak in a stranger's voice, and most learning content is designed around habits younger people take for granted. The client wanted an app that feels like family is nearby — using a real relative's face and voice, wrapping companionship and age-friendly learning content into something an older person can open unaided. The difficulty sits on two sides: the cloned face and voice have to be convincing and the training process has to be observable, while the elderly-facing screens must stay minimal without skipping a single consent step for portrait and voice data.

What we built

  • Cloning in three steps: face cloning, voice cloning and identity setup form one flow. Upload or record footage for the face, record a sample to clone the voice, or reuse an already trained voice; then set the avatar's name and family relationship (grandson, granddaughter and so on), tick "use immediately after training" and submit.
  • Visible training state: the family list shows each avatar as a card with its state — generating, available, in use — so the elderly user only ever sees the finished one.
  • Several family members: one account can create multiple avatars, distinguished by relationship, and switch which one is currently keeping company.
  • Age-friendly interaction: three fixed tabs at the bottom (My Family, My Avatar, Profile), enlarged type and controls, primary actions in a single column, fewer levels and fewer mis-taps.
  • Consent and compliance up front: explicit authorization checkboxes before photos and recordings are used, with legal terms, privacy policy, personal-information collection list and third-party sharing list inside the profile tab; the service package and its expiry date are visible to the user.
  • Login and account: phone number with a one-time code, nothing to memorize; package status, validity and help all live in one place.

Technical approach

Layer Approach
Face cloning Footage capture plus avatar training, with progress state pushed back to the list
Voice cloning Voice sample capture and timbre cloning, with reuse of previously trained voices
Client iOS and Android, three-tab navigation and enlarged type for older users
Compliance Portrait and voice consent, personal-information and third-party sharing lists, package validity on screen

Results

Item Detail
Delivery A mobile app for older users, with family members creating and managing the avatars
Core journey Clone (face / voice / identity) → training → family list → companionship and courses
Avatars Multiple family avatars per account, distinguished by relationship and switchable
Users and retention Not disclosed

Authorization

The approach and screen structure are shown in redacted form with the client's agreement; the client's name, real user data and operating metrics are withheld under a confidentiality agreement.

Anonymized: client name and data not disclosed

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