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EqualTales

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EqualTales

An AI-powered children's storybook generator featuring real women from history—built in 48 hours for a hackathon with a mission.

Industry EdTech / Social Impact
Role Designer & Developer
Year 2026 (48-Hour Hackathon)
Platform Web
EqualTales case study hero image - An AI-powered children's storybook generator featuring real women from history—built in 48 hours for a hackathon with a mission.
1st Place - Best AI/ML at #75HER Hackathon
200+ Demo attendees
48hrs Build time
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claude-code
$ |

This is how it starts. A question, a prompt, and curiosity.

The Challenge

A hackathon challenge with a mission: create something that helps close the gender gap in STEM.

Research shows that representation matters. Girls who see women in STEM are more likely to pursue those careers themselves.

The Question

Can AI create meaningful children's content that challenges stereotypes and inspires young girls to see themselves as scientists, engineers, and leaders?

My Contributions

01

Research

50+ historical figures researched
5 user personas developed
5 competitor analysis
02

Design

12 story screens designed
6 character templates
1 illustration style guide
03

Development

48hrs hackathon build time
2 AI models integrated
1 deployed MVP

How I Made an Impact

01

Identifying the Gap

Recognized that most children's books feature male protagonists. Girls need to see themselves as scientists, engineers, and leaders—not just princesses.

02

Choosing Authenticity

Used real historical women like Marie Curie and Mae Jemison instead of fictional characters. Real stories create real impact.

03

Visual Consistency

Developed a watercolor illustration style that creates cohesive, warm visuals across all generated images—solving the AI inconsistency problem.

04

Personal Connection

Wove the child's name directly into the narrative, transforming a generic story into a personal adventure.

The Product

Design Evolution

Building with AI requires iteration. Here's what I learned through trial and error:

What I Tried That Didn't Work

  • Generating unique characters per story—faces were inconsistent across pages
  • Using photorealistic image style—uncanny valley effect
  • Generic fictional role models—felt hollow without authenticity

What Actually Worked

  • Real historical women (Marie Curie, Mae Jemison) for instant authenticity
  • Watercolor illustration style for cohesive, warm visuals
  • Child's name woven into narrative for emotional connection

Visual Direction

The watercolor illustration style was a deliberate choice to solve AI's consistency problem while creating warm, inviting visuals.

Art Style
Watercolor
Soft, warm, forgiving of AI inconsistencies
Palette
Purple, coral, gold on warm cream
Characters
Historical
Real women, real stories

Key Trade-off

Chose authenticity over flexibility—real historical figures limit story variety but create deeper emotional impact.

By anchoring stories to real historical figures, we limited the variety of narratives we could tell. But the authenticity of real women's achievements—Marie Curie discovering radium, Mae Jemison traveling to space—creates a deeper emotional impact than any fictional character could.

Outcome

Recognition Best AI/ML — #75HER Hackathon
Impact Demo'd to 200+ attendees

The judges recognized that EqualTales wasn't just a technical achievement—it was a meaningful application of AI to address a real social challenge.

What This Shows About Me

This project demonstrates my ability to combine design thinking, AI tools, and social impact into a cohesive product under extreme time pressure.

Mission-Driven Design

I'm drawn to projects with real-world impact. Closing the STEM gender gap isn't just a hackathon theme—it's a problem worth solving.

Rapid Prototyping

I can take an idea from concept to deployed product in 48 hours. Speed enables experimentation and learning.

AI-Native Thinking

I understand how to leverage AI tools effectively—knowing when to prompt, iterate, and make trade-offs for the best outcome.

Try EqualTales