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Fiverr Pro
English
$
USD
I will build ai chatbots and rag apps using langgraph, fastapi and flutter
Muhammad Hamza
About this gig
Want a smart AI chatbot or RAG-powered app, not just a template bot that repeats FAQs?
I build custom AI agents and Retrieval-Augmented Generation (RAG) systems using LangGraph, connected to a Flutter mobile app (iOS + Android) with a FastAPI backend and MongoDB database.
What you get:
RAG chatbot that answers from YOUR data, not generic responses
LangGraph-based agent workflows for multi-step reasoning
FastAPI backend, documented and production-ready
Optional Flutter app with the chatbot built into the UI
MongoDB for persistent chat memory and data storage
Clean, scalable code you fully own
I've built real production systems with this stack, including a society management platform with real-time chat and a locally-hosted LLM, and a chatbot with a custom classification pipeline.
Process: message me your use case and data source, I'll confirm scope, then deliver working code with a short demo walkthrough.
Message me before ordering so I can scope your project accurately.
Get to know Muhammad Hamza
Muhammad Hamza
Full stack developer
- FromPakistan
- Member sinceJul 2026
- Avg. response time1 hour
Languages
Urdu, English
Hi, I'm Muhammad Hamza, a Full Stack Developer specializing in Flutter, FastAPI, Python, Firebase, MongoDB, REST APIs, and AI integration. I build responsive mobile apps, scalable backend APIs, and modern software solutions with clean, maintainable code. I focus on quality, clear communication, and on-time delivery. Whether you need a new app, API integration, bug fixes, or AI-powered features, I'm committed to delivering reliable solutions that help bring your ideas to life.
My Portfolio
FAQ
What's the difference between the Basic, Standard, and Premium packages?
Basic gives you a RAG chatbot backend only, connected via API — no mobile app. Standard adds a complete Flutter app (iOS + Android) with the chatbot built into the UI. Premium adds AI model fine-tuning and MongoDB-backed persistent memory for more advanced use cases.
Do I need to provide my own data for the RAG chatbot?
Yes — you'll need to share the documents, FAQs, or data source you want the chatbot to answer from (PDFs, text files, a website, or a database). Message me with your data before ordering so I can confirm it's a good fit.
Can the chatbot use a specific AI model, or a local/self-hosted one?
Yes. I can integrate hosted APIs (OpenAI, Anthropic, etc.) or set it up with a locally-hosted model via LM Studio if you want to avoid ongoing API costs. Let me know your preference before ordering.
