Inspiration

We started with one insight: it’s hard to become what you can’t see. Many young women don’t see STEM role models who share their background, identity, or lived experience. Elevra exists to make representation personal, not generic.


What it does

Elevra is an AI‑powered role model discovery app that matches young women with real STEM role models who share their identities, pathways, challenges, and goals. Students swipe through relatable stories, explore pathways, and take action with tailored opportunities.


How we built it

We designed a transparent, weighted matching system — not a black‑box AI — using tags for identity, interests, location, and lived experience. We built a swipe‑based interface, story cards, pathway maps, and a “Missing Story” alert that highlights representation gaps. Human‑centred design guided everything, including optional identity fields and future LinkedIn/resume import.


Challenges we ran into

  • Balancing personalisation with privacy and user control
  • Avoiding tokenistic representation
  • Designing an ethical, explainable matching engine
  • Scaling diverse role model stories
  • Integrating identity without forcing labels

Accomplishments that we're proud of

  • A matching system centred on lived experience, not job titles
  • A simple, empowering user journey from onboarding to action
  • The “Missing Story” gap map for schools and STEM organisations
  • Inclusive design that feels warm, safe, and relatable
  • A transparent technical foundation educators can trust

What we learned

  • Representation must be intersectional to be meaningful
  • Students want honest stories, not polished perfection
  • Identity needs to be optional and user‑led
  • Educators need visibility into which stories are missing
  • Simple, transparent tech can be more ethical and effective

What’s next for Elevra

  • LinkedIn/resume import for faster onboarding
  • A role model story‑builder to scale submissions
  • Dashboards for schools and STEM organisations
  • Community features like Q&A and local events
  • Smarter pathway mapping from school to career

Built With

  • html
  • html5/css3/javascript
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