Karthikeya Veeramallu
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case study · 04

Voice Clarity AI

Speech correction, designed accessibility-first for elderly users.

role
Solo
kind
accessibility, speech
stack
  • React 19
  • TypeScript
  • Vite
  • Gemini API
  • Firebase

problem

Speech correction for elderly users: an app that analyzes pronunciation and grammar issues, designed accessibility-first.

approach

A React 19 + TypeScript app built with Vite. The Gemini API analyzes pronunciation and grammar, Firebase Authentication and Firestore handle sign-in and persistence, and TypeScript is enforced throughout for a type-safe architecture.

what I built

  • Developed an AI speech-correction app that analyzes pronunciation and grammar issues using the Gemini API, with Firebase Authentication and Firestore for persistence.
  • Built it accessibility-first for elderly users, with TypeScript enforced throughout for a type-safe architecture.

impact

Pronunciation and grammar analysis, delivered in an app built accessibility-first for elderly users.

Karthikeya Veeramallu

open to job opportunities

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