I will build custom ai chatbot with django backend api


About this gig
Are you looking to integrate intelligent AI capabilities into a secure, production-ready web backend?
Most developers can build a basic AI script, but I specialize in bridging the gap between Generative AI and robust web architecture. I will build and integrate a Custom AI Chatbot directly into a Django backend, providing you with secure REST APIs, database management.
Whether you need to add an AI assistant to your existing web app or build a complete AI-driven backend from scratch, I deliver clean, object-oriented code.
What I Can Build For You:
- Django API Endpoints: Secure REST APIs to connect your AI logic to any frontend (React, Vue, mobile apps).
- LangChain Integration: Advanced AI agents and RAG (Retrieval-Augmented Generation) pipelines built right into your Django views.
- Database Connections: Storing chat history, user sessions, and AI context using SQLite, PostgreSQL, or MySQL.
- Vector Store Integration: Connecting your backend to FAISS, ChromaDB, or Pinecone for secure data retrieval.
Send me a message with your project requirements, and let's discuss the architecture!
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Get to know Anzal Hussain
Professional AI Backend Engineer RAG Chatbots and LLM Solutions
- FromPakistan
- Member sinceFeb 2026
Languages
English, Urdu, Turkish
My Portfolio
FAQ
Do you build the frontend user interface as well?
This gig focuses specifically on the AI logic and the Django backend/REST APIs. However, I can provide simple templates or integrate the APIs if you have a frontend ready.
Can you integrate this into my existing Django project?
Yes! If you have an existing codebase, I can write the new AI views, URLs, and models, and seamlessly integrate them into your current architecture.
What databases do you work with for the backend?
I am proficient with SQLite for smaller projects, and PostgreSQL or MySQL for production-level, scalable applications.
Is my company's data secure?
Absolutely. By handling the AI logic server-side in Django, your API keys and proprietary database logic remain completely hidden from the user.
