S4RA - English Tutor
AI voice tutor for Italians who freeze when speaking English
What it does
Most Italians understand English but freeze when they need to speak it. The problem isn't vocabulary — it's fear of judgment. S4RA is a bilingual AI voice tutor for real conversation practice. → Assessment in Italian → Roleplays in English → Coaching in Italian after each session No judgment. Just practice. Built with OpenAI Realtime API + WebRTC. Currently in beta.
Does a similar job
all alternatives →
Lucas | Call your AI language teacher2024 · ▲204Learn English, Spanish, German, French & more by talking
- LCLearnLingo – Converse with an AI-powered language tutor2023 · learnlingo.dev · ▲157
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor. I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary. The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation. I'm working on a number of other features that will be coming out…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
