KinAI-Mentor

KinAI-Mentor: AI-Powered Offline Educational Assistant

KinAI-Mentor: AI-Powered Offline Educational Assistant

Next-Gen Voice-Driven Learning & Intelligent Tutoring

[🤖 AI-POWERED] • [🎤 VOICE-DRIVEN] • [🔒 PRIVACY-First]

Python Streamlit Ollama Offline

🧠 Local LLM • 🎯 Victorian Curriculum • 🔄 Speech Recognition • 🐍 Open Source

Transform education with AI that listens, teaches, and empowers

KinAI-Mentor


Why KinAI-Mentor?

KinAI-Mentor is an offline, voice-driven AI tutor aligned with the Victorian Curriculum F–10 Version 2.0, designed to provide personalized education for all students. Built with Streamlit and local LLMs via Ollama, it offers speech-to-text and text-to-speech for accessible, privacy-first learning, perfect for diverse learners.

Key Features

  • 🎤 Voice Input: Ask questions naturally using speech recognition.
  • 💬 Text Chat: Type queries for traditional interaction.
  • 🗣️ Voice Output: Hear responses aloud with text-to-speech.
  • 📚 Curriculum-Aligned: Supports Victorian Curriculum F–10 v2.0 across subjects.
  • 💻 Fully Offline: No internet required, ensuring privacy and accessibility.
  • ♿ Accessibility-First: Designed for students with diverse needs.

Privacy by Design

KinAI-Mentor operates entirely offline with local LLMs, ensuring no data is transmitted externally. All processing happens on your device, providing a secure, private learning environment for students and families.

Integration with KinAI Ecosystem

KinAI-Mentor feeds learning progress into the KinAI Ecosystem’s chat hub, enabling responses like: “Your son is studying Maths and needs help with algebra.” It syncs with KinAI-Vision, CareVault, NexPatrol, ScholarKit, and GeoPulse for a cohesive family experience.

Get Started

Explore KinAI-Mentor on GitHub for setup guides, code, and documentation. Empower your child’s learning journey today!

Visit KinAI-Mentor on GitHub


Built with ❤️ for privacy, intelligence, and automation.

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