Document processing, local AI, and workflow automation for educational institutions.
Possible areas of application in these organizations.
Materials the institution is allowed to process are transformed or translated into drafts that staff review.
Recordings are transcribed locally, and a person reviews the text.
A developing RAG direction: answering staff questions from the institution’s own documents. It is not an available service.
Concrete organizational problems we can build solutions for.
Further scenarios we can build on top of the directions above.
A private assistant for organizational documentation: semantic search and answers over approved documents, with links to the sources. Role-based access belongs to the target architecture only where it is specified and built.
Possible workflow
Boundary: Answers from a knowledge base work in the Telegram secretary, and document stores with search in OpenAI API Desk. Role-based access and private deployment are not claimed.
More projects: Electronic Telegram secretary, OpenAI API Desk
Drafts of responses to incoming requests, service notes, protocols, summaries, reports, letters and structured case summaries, prepared for a person to review and approve.
Possible workflow
Boundary: Drafts only. Responsibility stays with the organization and its people.
A possible workflow from a meeting recording to a draft protocol and tasks.
Possible workflow
Boundary: Transcription of long recordings and turning them into structured articles work in the Local transcription project. A draft protocol with decisions, owners and deadlines is the next step.
More projects: Local transcription of large audio files
Suggested measures for the first stage.
Confirmed by our projects.
Directions under development.
Voice & meetings · Documents
Hours of recordings turned into ready text — without cloud service limits.
Batch transcription of audio recordings on your own computer with GPU acceleration, fully offline.
Result About 60 hours of lectures processed in about 5 hours on a GPU
AI assistants & Telegram bots · Documents
When it is easier to read than to watch: send a video link and get text ready for reading.
A Telegram bot turns the transcript of a YouTube video into coherent, neatly formatted text.
Describe what is currently done manually, what data is involved and what result you would like to achieve. You do not need a technical specification or a chosen model to begin.
Please do not share trade secrets, source code, or sensitive personal data before an NDA (non-disclosure agreement) is signed.
