Repositoryzuhairhalawa/studyaiTool
It showcases how to build privacy-conscious, local-first web applications that combine LLM capabilities with rigorous factual verification against source material.
StudyAI tackles the risk of hallucination and privacy concerns in academic study tools. Using a local-first architecture in TypeScript, all imported PowerPoint files and user notes remain entirely inside the user's browser, without requiring account creation or transmitting data by default.
The platform extracts complex slide components, converting formulas to LaTeX rendered via KaTeX while flagging unreadable images for manual transcription. For studying, it integrates FSRS-based spaced repetition and practice exams. Rather than producing generic questions, it adapts to the lecture structure (e.g., formal proofs, state machines, or code calculations).
A central feature is its verification mechanism: quotes generated by AI models are checked against actual slide content on-device, and statements falling outside the provided material are explicitly marked as "Beyond the slides."
The codebase includes a web interface, CLI utilities, and integrations for Claude Code (lecture-pack). The AI tutor can be self-hosted on Cloudflare's free tier using Google's Gemini free API. With automated CI/CodeQL checks, over 200 stars, and MIT licensing, the project appears well-structured. However, non-technical users may face friction deploying their own Cloudflare Worker or handling manual transcriptions for image-heavy presentations.
Summary generated by AI (Gemini 3.8 Flash, 28 October 2026). It may contain errors – the original source is authoritative.
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