AI agent · Health

See the result before the procedure, approved by the clinic

A hair-transplant clinic wanted prospects to picture their result before booking. We built the clinic's website, its back end, and an AI estimator that turns a patient's photos and answers into a projected-result card, reviewed by the clinic before it is sent.

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Illustration
AI agent · Health
  1. Photos and answers
  2. Clinic accepts
  3. Project the result
  4. Assess and recommend
  5. Clinic sends

The situation

Prospects hesitate because they cannot picture the result, and clinics spend hours answering the same first questions. An AI preview helps only if it never reaches a patient unchecked.

What changed

The patient submits photos and a few answers. After the clinic accepts the application, an image model produces a projected-result card and a text model writes a short assessment. The technique and package follow from a fixed rule, and nothing is sent until the clinic has reviewed it.

How it works

5 steps, end to end

  1. 01

    Photos and answers

    The patient uploads photos and describes their hair-loss stage and zones.

  2. 02

    Clinic accepts

    The application waits for the clinic's approval before any AI runs.

  3. 03

    Project the result

    An image model generates a projected-result card.

  4. 04

    Assess and recommend

    A short written assessment; the technique and package follow a fixed rule.

  5. 05

    Clinic sends

    The clinic reviews the card, then sends the patient their link.

Where the AI stops

The model writes. The code decides.

The model

  • Generates the projected-result image
  • Writes a short assessment

The code

  • Runs nothing before the clinic accepts the application
  • Derives the technique and package from a fixed rule
  • Records the real cost of every generation
  • Falls back to a set text if the model fails

By the numbers

Counts read in the code we shipped. No invented results.

2
human approvals before a patient sees anything
5
states every request moves through
1
fixed rule for the recommendation

Built with

  • Image and text models
  • Job queue and scheduler
  • Postgres and storage
  • Bot protection
  • Email workflow

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Contact

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  • Where we areMorocco, working worldwide
  • Writehello@kaishift.com
  • LanguagesFrench, Arabic, English
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