Project Info
TL;DR: Call (509) 620-9019, then visit http://lingoose.lol
Inspiration
90% of active Duolingo users never become conversationally fluent. We wanted to change that by forcing real-life speaking practice through a daily phone call from an AI goose. Hands-free learning also seemed like a cool idea given the current human attention economy. What It Does Our app uses Vapi to power real-time phone conversations between users and an AI goose that speaks in their target language. Each day has a unique theme, from date nights to political family dinners, to keep conversations fresh. Sessions last ~3 minutes, with gamified feedback and progress tracking in-app. Challenges We Faced Ensuring natural-sounding, low-latency speech Handling multilingual prompts and fallback cases Making the goose funny and pedagogically effective What We Learned How to design engaging, voice-first AI agents Why conversational fluency requires active recall, not just passive apps People love being yelled at in French by a goose
This project did not link a GitHub repository.
Analysis
No indexed repository for this project, so there are no commit stats to show.
Technology
- Next.jsUnchecked
- SupabaseUnchecked
No repository was indexed for this project, so these Devpost claims have not been checked against code.
AI coding agents
No repository was indexed, so agent usage could not be checked.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
No repository was indexed, so there is no codebase to measure.
This project did not link a GitHub repository, so there is nothing to diagram.
This project did not link a GitHub repository, so its feature claims have not been checked against code.
Export this project's context (description, README, evidence, key source files) to chat with an AI agent elsewhere.