{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "mw00-project-maya--analyze-sensitive-documents-offline",
 "repo": "mw00/project-maya",
 "repo_url": "https://github.com/mw00/project-maya",
 "repo_slug": "mw00-project-maya",
 "title": "Ask questions about confidential files without cloud upload",
 "page_title": "How to ask questions about confidential files without cloud upload with Project Maya",
 "summary": "Chat with a large model in the browser while your documents stay on your own machine.",
 "who": "A researcher, lawyer or analyst holding confidential material who needs a strong model but cannot upload it to a third party.",
 "problem": "Strong large models are usually hosted, so sensitive text has to leave your control.",
 "outcome": "A browser chat with a local 300B-class model that works through your questions on documents that never leave the PC.",
 "steps": [
  "Run `./setup.sh --setup` and pick a model that fits your memory (Maya-S24 suits cards of 24 GB or less).",
  "Open the browser chat the setup starts and confirm it loads the local model. (inferred, check the README)",
  "Paste or attach the document text in the chat and ask a question about it.",
  "Turn thinking levels up for harder questions if the chat offers them for your model."
 ],
 "agent_prompt": "Use the GitHub repo mw00/project-maya. Run ./setup.sh --setup on <target machine>, choose Maya-S24, then open the local browser chat and ask a summary question about <document path>. Expected output: a summary generated locally. Verify that the network traffic during the answer stays on the local machine.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "2 hours 30 minutes",
 "basis": "readme",
 "caveat": "The README describes the browser chat but not its address or how to attach files, so the exact steps may differ on your version.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "c++",
 "requirements": [
  "A PC with one or more NVIDIA or AMD GPUs, running Linux or Windows (AMD and Windows are marked experimental in the README)",
  "Enough combined RAM, VRAM and NVMe SSD space for the model you pick (Maya-S is 96.5 GB; DeepSeek-V4.1-Flash-1017 GGUF files are 340 GB or more)",
  "Time and bandwidth to download the model files from Hugging Face",
  "A terminal to run ./setup.sh"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/mw00-project-maya/analyze-sensitive-documents-offline/",
 "md": "https://dedupedai.com/use-cases/mw00-project-maya/analyze-sensitive-documents-offline/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/mw00-project-maya--analyze-sensitive-documents-offline.json",
 "api_version": "v1"
}