I will build a rag chatbot trained on your PDF website or documents

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zain233
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Muhammad Zain

About this gig

Your customers ask the same questions every day. Your team spends hours answering from the same documents. There is a better way.


I build RAG chatbots that read your actual content PDFs, websites, manuals, knowledge bases and answer questions accurately in real time. No generic AI responses. No hallucinations. Just answers grounded in your data.


What your RAG chatbot can do:

Answer questions from your PDFs, docs, and website · Give accurate responses based only on your content · Handle follow-up questions with full context · Deploy on your website, internal portal, or via API · Support multiple documents and large knowledge bases


Built with:

LangChain · ChromaDB · OpenAI GPT or Ollama (local) · FastAPI · React · Python


Who this is for:

Businesses with large documentation · Law firms and consultancies · Educational platforms · SaaS companies with help centers · HR teams managing internal policies · Healthcare providers with patient FAQs


Why me:

I built Tutor LLM a production RAG application where students upload a course syllabus and ask contextual questions. Built end to end with FastAPI, ChromaDB, Ollama, and React.

Get to know Muhammad Zain

Muhammad Zain
  • FromPakistan
  • Member sinceSep 2020
  • Avg. response time1 hour
  • Languages

    English
AI & ML Engineer specializing in computer vision, NLP, LLM-powered chatbots, and scalable REST APIs. I build end-to-end intelligent systems using Python, PyTorch, YOLO, FastAPI, Django, and n8n automation. My projects include real-time object detection, disaster prediction platforms, diabetes classification, fake news detection, and AI chatbots integrated with live databases. I also bring professional frontend experience with React.js and cross-platform mobile development with Flutter. I deliver clean, production-ready AI solutions tailored to your needs. Let's build something smart together.

My Portfolio