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I will build ai vision pipeline with llm, rag, opencv and python
Abdul Rafeh
About this gig
I build end-to-end AI vision pipelines combining Computer Vision, LLM, and RAG into one intelligent system detecting, analyzing, and reasoning over images and video in real time using OpenCV, Python, and state-of-the-art language models.
Projects Delivered:
- Full App with Real-time surveillance system with YOLOv8, OpenCV and automated LLM incident reporting
- Visual RAG system extracting and reasoning over scanned legal documents
- OCR document intelligence platform with LLM evaluation engine and real paying users
- Retail shelf monitoring detecting stock gaps and generating LLM restocking reports
- Sports highlight detection pipeline with CV event detection and LLM commentary
What I Build:
- CV pipelines detection, tracking, segmentation, classification
- RAG systems with custom knowledge bases and document retrieval
- LLM integration for reasoning over visual and text data
- OCR pipelines for document and image text extraction
- Full stack web apps React frontend and FastAPI backend
- Cloud deployment with clean REST API endpoints
Why Choose Me:
- Real deployed multimodal AI systems in production
- Full stack CV, LLM, RAG, backend and frontend
- Clean documented code and on-time delivery guaranteed
Get to know Abdul Rafeh
Abdul Rafeh
Ai and Computer vision Solutions
- FromPakistan
- Member sinceOct 2024
- Avg. response time1 hour
- Last delivery2 months
Languages
English
I'm an AI Engineer specializing in Computer Vision, Machine Learning, and intelligent document processing. If you need a custom-trained model, a real-time detection pipeline, or an OCR-powered automation system, I build it end to end, production-ready.
My deployed work includes real-time CV pipelines , Object detection systems, sports analysis systems, AI-based exam grading platforms (live, paying users), and large-scale document intelligence systems.
I work in Python, FastAPI, PyTorch, and OpenCV no bloat, just what gets the job done.
Fast delivery. Clean code. Real results.
My Portfolio
FAQ
What exactly is an AI vision pipeline and what can it do?
An AI vision pipeline combines Computer Vision and LLM into one system. It detects and tracks objects using OpenCV and YOLOv8, extracts meaning from images and video, and uses LLM reasoning to generate intelligent responses, reports, or decisions — all automated end to end.
Can you integrate a RAG system with my existing image or document data?
Yes. I build RAG pipelines that connect your custom knowledge base to a vision system. The CV layer extracts visual or text data, RAG retrieves relevant knowledge, and the LLM generates accurate context-aware responses based on your specific data.
Can you build a full stack web application around the AI vision pipeline?
Absolutely. I deliver complete full stack systems React frontend, FastAPI backend, database integration, and REST API endpoints so your AI pipeline is accessible as a fully functional web application from day one.
What types of images and video sources does your system support?
The system works with live camera streams, CCTV footage, recorded video files, scanned documents, PDFs, and uploaded images. It handles low quality inputs, occlusions, and real world edge cases reliably.
Can you fine tune an LLM specifically for my business domain?
Yes. I fine tune open source LLMs on your custom dataset so the model understands your specific domain, terminology, and use case — delivering significantly more accurate and relevant responses than a generic model.
Do you provide source code, documentation, and post delivery support?
Every delivery includes full source code, detailed inline comments, setup documentation, and a walkthrough so your team can maintain and extend the system independently without any dependency on me.
