ancestra AI: Conversational AI for Health Insights by Ayushi Sharmaancestra AI: Conversational AI for Health Insights by Ayushi Sharma

ancestra AI: Conversational AI for Health Insights

Ayushi Sharma

Ayushi Sharma

Conversational AI that connects your symptoms to your ancestry

Four weeks, four designers, one question

ancestra AI was born at California College of the Arts, where we were challenged to explore the potential of conversational AI agents. Our team became fascinated by a specific question: What if an AI could help people understand how their ancestors' experiences might be showing up in their health today?

The problem

Services like 23andMe give you genetic data. Your Apple Watch tracks your sleep. Your doctor has your family history. But none of these systems talk to each other; leaving you with fragmented health insights that never connect the dots.
Our core insight: Epigenetic markers unlike fixed DNA can change over time and even be reversed.

Design philosophy

We wanted ancestra to feel like talking to a caring mother, someone who listens deeply, notices what you might miss, and tells you the truth with warmth.

Listens

Gathers symptoms, concerns and context

Integrates

Combines genetic data, family history, and lifestyle patterns

Identify

Recognizes patterns that connect ancestry to present health

Explains

Shares findings with research-backed context; not alarm

Act

Guides toward doctors and tests; never replacing medical care

Designing for real scenarios

We developed 4 detailed personas to test how ancestra AI handles different user contexts from inherited conditions to family planning concerns. One of our personas:

Background

Japanese heritage; both parents' families from Hiroshima. Parents later immigrated to the U.S.

Context

Struggles with thyroid symptoms, fatigue and mid-day crashes. Frustrated by weight gain and not feeling heard by doctors.

The conversation experience

The agent asks probing questions before revealing insights, building a complete picture rather than jumping to conclusions. It explicitly states it cannot diagnose, but provides enough context for users to advocate for themselves with doctors.

Why every word mattered

We agonized over how ancestra phrases bad news. ancestra isn't a finished product. It's a provocation: What if health apps actually understood you?

Looking back

This was a class project. But it changed how I think about design. I learned that conversation is an interface and it requires as much craft as any visual design. Every word carries weight. Every pause matters.
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Posted May 19, 2026

A project on Conversational AI connecting ancestry to health insights, designed over four weeks.