Problem: Lost Identity in a Fragmented World. How do we reclaim our roots in a fast affordable way?
In today’s world, identity is fractured. Boarders, wars, slavery, migration, colonization, and cultural erasure have severed people from their ancestral roots. DNA tests have tried to fill the gap, but they are:

Invasive: Requiring genetic samples that some people are reluctant to provide.

Expensive: Out of reach for millions globally as tests range from $60 to $600.

For many, particularly those in the diaspora, the need to connect with their roots is profound. They look in the mirror and wonder, “Where do these eyes come from? Whose jawline is this? What stories live in my face?”

Yet, until now, there has been no affordable, accessible, non-invasive way to map ancestral heritage without DNA.

How It Works

Our app is built on Base and leverages computer vision to trace ancestry from facial features. Here’s how:

1. Data Collection & Preprocessing:
   The user uploads a clear facial image.
   The image is processed using computer vision algorithms to extract facial landmarks (e.g., eye shape, nose structure, cheekbones).

The model analyzes facial symmetry, bone structure, and unique identifiers.

2. Feature Analysis:
   We use OpenAI models to access extensive datasets of global phenotypes.
   These datasets include historical portraits, ancient and modern skull reconstructions, ethnographic records, and modern genetic markers.

The AI maps the user’s features to specific regions, cultural groups, and genetic haplogroups.

3. Cultural and Genetic Mapping:
   Once the facial features are identified, the AI cross-references them with a comprehensive database of known anthropological traits and genetic markers.
   For instance, high cheekbones, almond-shaped eyes, and specific skin tones may align with East Asian, Indigenous American, or Bantu ancestry.
   The app goes deeper, identifying not just broad racial categories but sub-ethnicities and possible tribes. To maintain privacy, the users uploads are not stored. This is an experimental app in beta.