The process of designing and building a web app to fill a market gap using artificial intelligence
An independently-led, AI-enabled project named Splattr

Challenge
Speech therapists spend significant time searching for visuals, formatting worksheets, and manually matching images to therapy activities. Existing workflows are repetitive, fragmented, and slow – making resource creation a major bottleneck in session preparation.

Solution
An intuitive, easy-to-use app that allows speech therapists to generate visual resources tailored to the unique teaching materials and client needs.

What I delivered
  • Designed screens and prototypes in Figma
  • Developed the platform using Claude
  • Designed the UX end-to-end experience and interaction flows for AI image generation
  • Reduced user interactions for seamless use, including developing async multi-page image generation workflows
  • Deployed the platform for beta testing and worked alongside an industry specialist to iterate and develop features
  • Created reusable UI components, documentation, and systems to help AI build consistent UI primitives
  • Integrated the AI build with Supabase, Google Gemini, and Vercel for deployment
  • Outsourced, briefed, and collaborated with a junior software developer during development (feature annotations, Figma hand offs, project management, etc.)

Timeline
Roughly 4 months so far.