Upwork Proposal Generator for Mobile App Developers

The trickiest part of a speech-first learning prototype for kids isn't wiring up speech-to-text and text-to-speech. It's what happens when a six-year-old mumbles, talks over the prompt, or answers in a noisy room on a cheap Android over spotty data. If the app freezes or misreads them, the child loses trust in two seconds and the adaptive logic never gets a clean signal to work with. So the real Phase 1 job is designing the audio capture and fallback flow so the platform stays forgiving when the input is messy, which is most of the time with young users.

I build exactly this kind of thing. Two that map directly to your stack and stage:

PerfectMatchSchools (perfectmatchschool.com): a live EdTech platform I built solo, React with TypeScript and Supabase, with archetype-based matching logic close to the adaptive branching you need.

RealTalkReferee (app.realtalkreferee.ai): an AI product that captures conversation input, runs it through model APIs, and returns tone and intent feedback, the same audio-in to AI-response loop your workflows require.

How I'd approach Phase 1:
1. Ship a mobile PWA on Next.js and Supabase so it runs on Android and iPhone with no app-store delay, keeping the prototype cheap to iterate.
2. Handle audio recording on-device, then route through Whisper for speech-to-text and ElevenLabs for playback, with a retry-and-reprompt path when confidence is low.
3. Model the adaptive rules as data, not hardcoded logic, so your curriculum team can adjust difficulty without a developer.
4. Add a simple progress dashboard tracking attempts, accuracy, and drop-off so you see where kids stall.

One thing that shapes the whole build: are the adaptive branches driven by whether the child's answer is correct, or by how they say it, tone, hesitation, and confidence?