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TEACHER.PRO is a private AI English tutor platform powered by local LLMs, voice recognition, and pronunciation analysis. Unlike cloud-only solutions, it runs locally, providing privacy-focused language learning with personalized conversations and interactive training.
Thanks for highlighting TEACHERPRO! This is my first product launch; I’m nervous but excited to share what I’ve built.
What is TEACHERPRO?
It’s a fully offline, privacy-focused English tutor that runs four AI models directly on your computer. No cloud. No data leaks. No subscriptions. The student's voice and progress data never leave the machine.
The Processing Pipeline – How the four models work together:
1. Audio Processing: Professional noise reduction and volume normalization (LUFS) clean up the raw microphone input.
2. Speech Recognition (Whisper – OpenAI): Transcribes what the student said, preserving pronunciation errors.
3. Acoustic Analysis (WavLM – Microsoft): Compares the student's speech to a native speaker's, generating a phonetic similarity score.
4. Forced Alignment (Wav2Vec2 – Meta): Identifies exactly when each sound was pronounced.
5. Conversational AI (Qwen 2.5 – Alibaba): Acts as a personal tutor, offering feedback, explaining rules, and keeping the conversation flowing.
All models are orchestrated locally via FastAPI and Ollama, featuring a Vanilla JS frontend and SQLite for progress tracking.
Privacy and Offline Mode
The entire pipeline works without an internet connection. When a connection is available, the software can optionally enrich conversations with real-world context (weather, culture, currency) using public APIs, but it never sends user data.
What’s included in the sale
- Full source code (Python/FastAPI + Vanilla JS)
- Windows installer (.exe)
- Pre-populated database (over 260 words, 80+ dialogues, achievements)
- Architecture documentation, security audit report (Bandit), and INPI registration (Brazilian intellectual property office)
I developed this entirely on my own. It involved two years of self-directed learning and two months of intensive development with AI assistance. Now, I am looking for a buyer capable of scaling the project.
I am available to answer questions or provide a live demonstration. Thank you for reading!
running locally is honestly such a huge plus for privacy, love seeing that. one thing though, could you add a spaced repetition mode for vocabulary? like, after a conversation session it would be great if the app pulled out words i struggled with and quizzed me on them later so they actually stick. would make the learning loop feel way more complete.
Congrats on the launch, the local-only approach is a really nice angle for privacy-conscious learners. One thing I'd love to see is a spaced repetition mode that pulls vocabulary from the actual conversations I had that week, so the words I stumbled on in a real chat come back the next day. Would make the practice stick way better.
Ran it locally and the pronunciation feedback actually caught a vowel mistake I didn't know I kept making. Quiet impressed it works without sending my voice to the cloud.
The local LLM approach is a smart move for something as personal as language practice. Pronunciation feedback was surprisingly honest without feeling robotic.
About TEACHER.PRO on Product Hunt
“Private AI English Tutor that runs offline”
TEACHER.PRO was submitted on Product Hunt and earned 0 upvotes and 5 comments, placing #145 on the daily leaderboard. TEACHER.PRO is a private AI English tutor platform powered by local LLMs, voice recognition, and pronunciation analysis. Unlike cloud-only solutions, it runs locally, providing privacy-focused language learning with personalized conversations and interactive training.
TEACHER.PRO was featured in Education (78.8k followers), Languages (14.4k followers), Artificial Intelligence (473.7k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 167.3k products, making this a competitive space to launch in.
Who hunted TEACHER.PRO?
TEACHER.PRO was hunted by Anderson Rufino. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Anderson Rufino