You will get I will build a custom AI chatbot for your business using Python

Project details
I build AI-powered RAG chatbots that let your customers chat directly with your business documents — menus, catalogs, or any PDF/HTML file. Built with Python, FastAPI, and Next.js. You bring your Gemini API key, I build the rest
Chatbot Type
Customer Service Chatbot, Productivity ChatbotDevelopment Technology
GPT-3, Node.js, PythonMessaging Platform
Website, WhatsAppWhat's included
| Service Tiers |
Starter
$80
|
Standard
$200
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Action Plan | - | - | - |
API Integration | - | - | - |
Bug Fixes | - | - | - |
Chatbot Flow Design | - | - | - |
Conversation Script | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $80
Additional Revision
+$15
Action Plan
(+ 1 Day)
+$25
API Integration
(+ 2 Days)
+$60Frequently asked questions
About Kwstas
AI Application Engineer FastAPI + RAG +Document Extraction Specialist
Chios, Greece - 6:47 am local time
I recently built two production-grade AI projects: a multi-restaurant AI chatbot with LangGraph agents, parallel vector search, JWT authentication, and streaming responses (FastAPI, ChromaDB, Google Gemini, Next.js), and a Greek regional economic research assistant with custom scoring formulas and multi-tool LangGraph agent.
What I can build for you:
AI chatbots and RAG systems that answer questions from your documents or data
FastAPI backends with AI agent integration (OpenAI, Gemini, Claude)
LangGraph multi-step agents with memory and streaming
Data extraction pipelines from PDF, HTML, and structured data
Steps for completing your project
After purchasing the project, send requirements so Kwstas can start the project.
Delivery time starts when Kwstas receives requirements from you.
Kwstas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
Review client's documents and requirements
Backend Setup
Build FastAPI + ChromaDB RAG system with document upload