You will get a smart Telegram AI bot with GPT-4 and a Django admin panel
Project details
Telegram has 900M+ active users — and most businesses are still using it with zero automation. I build intelligent Telegram bots that handle customer inquiries, qualify leads, onboard users, and run business workflows 24/7 without any human intervention.
My bots are powered by GPT-4o or Claude and built with Python (aiogram 3.x) plus a Django REST backend. They understand context, remember conversation history, and respond in your brand's voice. Every bot comes with an admin panel to manage users and conversations, and is deployed on your VPS with SSL webhook and automatic restart on reboot.
Whether you run an e-commerce store, SaaS product, agency, or real estate business — a smart Telegram bot reduces support costs, captures more leads, and keeps customers engaged around the clock. Clean code, full documentation, and reliable uptime guaranteed.
My bots are powered by GPT-4o or Claude and built with Python (aiogram 3.x) plus a Django REST backend. They understand context, remember conversation history, and respond in your brand's voice. Every bot comes with an admin panel to manage users and conversations, and is deployed on your VPS with SSL webhook and automatic restart on reboot.
Whether you run an e-commerce store, SaaS product, agency, or real estate business — a smart Telegram bot reduces support costs, captures more leads, and keeps customers engaged around the clock. Clean code, full documentation, and reliable uptime guaranteed.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$299
|
Standard
$799
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Telegram Mini App
+$250Frequently asked questions
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VV
Vadim V.
Apr 4, 2026
Python Developer Needed for Dictionary Translation using ChatGPT API
About Jegor
EU AI Act & GDPR Compliant AI Chatbots | Python, FastAPI, RAG, LangCha
Prague, Czech Republic - 5:40 am local time
The EU AI Act becomes fully enforceable on August 2, 2026 — fines up to
€35M or 7% of global turnover. Every chatbot serving EU users must comply,
and "we just used the OpenAI API" is not a strategy your DPO will sign off on.
I build production RAG chatbots that meet EU requirements out of the box:
GDPR-compliant data handling, EU AI Act Article 50 transparency disclosures,
full audit logs, source citations with confidence scoring, the right to
erasure as a working endpoint (not a policy page), and optional self-hosted
LLMs for complete data sovereignty.
Based in Prague — EU jurisdiction, EU time zone, EU contract law.
5+ years building Python backends and AI integrations. Stack: Python,
FastAPI, Django, PostgreSQL with pgvector, LangChain, OpenAI / Claude /
Mistral, self-hosted Llama and Mistral via Ollama and vLLM, Docker, Redis,
Celery, React for chat widgets.
What I deliver:
— RAG assistants trained on your documents with source citations and
hallucination guardrails
— EU AI Act & GDPR compliance package: pre-filled DPIA, audit logs,
consent flow, data export and erasure endpoints
— Self-hosted LLM deployments for healthcare, finance, legal, and any
special-category personal data
— Multi-channel chatbots: web widget, Slack, Teams, WhatsApp, Telegram,
email auto-responder
— Backend APIs (FastAPI, Django REST) with PostgreSQL, Redis, Celery,
Docker, GitLab CI/CD
How I work:
— Discovery first: I classify your data sensitivity and lock the
architecture before writing code
— Compliance-by-default: every system ships audit-ready, not "compliance
on request"
— Clean, documented, production-grade code. No exotic frameworks. Any
Python developer can maintain it later
— EU-friendly hours and clear async communication
Best fit for: EU SMBs, SaaS, healthcare, fintech, education, consulting
firms, government contractors.
Languages: English, Czech (native), Russian (native).
If you need an AI developer who understands both the LLM side and the
EU regulatory side — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Jegor can start the project.
Delivery time starts when Jegor receives requirements from you.
Jegor works on your project following the steps below.
Revisions may occur after the delivery date.
Bot Scenario Design & Conversation Flow
I map all conversation flows, bot commands, AI personality, and integration points. You get a visual diagram showing the full bot logic for your approval before any code is written.
Core Bot Development with GPT Integration
I build all handlers, GPT/Claude integration, Redis conversation memory, and command logic using Python aiogram 3.x. You receive a working staging bot link to test at this stage.