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AI Applications

Small, dependable tools built with LLMs, RAG and computer vision.

Request a quoteQuoted per use case

I treat AI as a tool that removes repetitive work, not as a showcase demo. A RAG assistant that answers questions over your documents, a pipeline that turns recordings into text, or a service that detects objects in a camera feed — each is built for a measurable time saving. We agree on the accuracy threshold for the job before choosing a model.

What's included

  • Document-grounded question answering (RAG)
  • Speech recognition and automatic transcription
  • Image classification and object detection
  • OpenAI / Hugging Face model integrations
  • Delivered with a Streamlit or web interface

Process

  1. 01Use case and accuracy threshold
  2. 02Data preparation
  3. 03Prototype and evaluation
  4. 04Interface development
  5. 05Deployment and monitoring

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