I will build your ai chatbot backend using fastapi


About this gig
Built an AI chatbot with a no-code tool, but now you need it connected to your real app, database, or business logic?
I build the backend that turns a basic AI chatbot into a real product feature, secure, connected to your data, and ready for production.
WHAT MAKES THIS DIFFERENT
- Real backend code (FastAPI), not a no-code workflow that breaks at scale
- Connects GPT, Claude, or Gemini to your actual app or database
- Secure by default: proper authentication, not an exposed API key
TECHNICAL DELIVERABLES
- FastAPI backend integrating your chosen AI model (GPT, Claude, or Gemini)
- Database integration to store conversations, users, or app data (SQLAlchemy)
- Secure API key handling and authentication
- Clean, documented code you or your team can maintain
- Optional fine-tuned responses based on your specific use case
TECH STACK
Python, FastAPI, SQLAlchemy, SQLite/PostgreSQL, OpenAI/Claude/Gemini APIs
Message me your project details (what the AI should do, and whether you have an existing app or database) before ordering so I can confirm the right package.
Get to know Muhammad Umar
Python Developer Automation and Data Cleaning Specialist
- FromPakistan
- Member sinceJan 2022
Languages
English, Urdu
FAQ
How secure is my API key and user data?
Your AI provider's API key is stored securely on the backend, never exposed in client-side code. If your project includes database integration, user data is handled with proper authentication rather than left in an open, unsecured endpoint.
Do I need to already have an app, or can you build one from scratch?
This gig is for connecting the AI backend to an existing app or building the backend layer for a new one. If you don't have a frontend yet, I can build the backend independently and you can connect a frontend later, or hire a frontend developer to pair with this.
Will you help me deploy this, or do I need to hire someone else?
I deliver the complete, documented codebase with setup instructions. Basic deployment guidance is included; if you need me to fully deploy it to a cloud provider (Railway, Render, AWS, etc.), that's available as a custom add-on — just ask.
What happens if I need changes or new features after delivery?
Each package includes revisions during the delivery window for anything within the original scope. After that, I'm glad to take on new endpoints, added features, or fine-tuning adjustments as a follow-up order — this kind of ongoing backend work is common as projects grow.

