Development of Telegram Userbot + AI commentator based on GPT

Budget: 450 EUR Deadline: 12 days

Good afternoon, I am very interested in your project. I am currently working on my own Telegram bot with an AI agent. I already have several ideas for implementing something similar.

1. I have experience with Pyrogram, which is a more modern and convenient library. I recommend focusing on it for high performance, but since we will also analyze users based on activity and other interesting features, I am willing to learn Telethon for greater control over the Telegram API.
2. I have several personal projects involving GPT API and GEMINI API. My first experience was at a hackathon, where I compared two PDF files and suggested options for modifying one of them. My second project is related to Telegram bots; I created a "neural secretary" that automatically fills a calendar by reading messages or listening to voice messages.
3. Examples of projects are mentioned above.
4.1. First, we need to develop a bot that can analyze group members, take their stories, like stories and messages. Implementation and testing will take 2-3 days.
4.2. After that, we can add a neural network that will generate responses to messages. This will take no more than one day; I have experience with similar tasks.
4.3. Next, we will develop a neural network for visual analysis of stories. I have no experience in this area, so I will spend 1 day studying this topic, then 2-4 days implementing a story analyzer. The output of this analysis will be a text summary of what happened, with comments generated by the neural network from point 4.2.
4.4. The remaining 3 days will be for fixing bugs; it’s possible to complete the project earlier than 12 days.
5. Timeline: 12 days, cost: 450 EUR

Looking forward to your response! Expand

Budget: 399 EUR Deadline: 1 day

Hello!

I am interested in your project to create a Telegram userbot with AI integration for media processing and automatic live comment generation. I have experience developing userbots with Telethon, integrating GPT-4 and visual models for image analysis and text generation, working with parsing Telegram stories and implementing anti-spam logic.

I am ready to discuss details and propose the optimal architecture solution, as well as the timeline and budget for the MVP.

If convenient, please send me a private message — I will provide detailed information about my approaches and examples of completed projects.

Looking forward to collaborating!

Budget: 500 EUR Deadline: 12 days

Good afternoon!

I will create a Telegram userbot with AI that automates parsing, media analysis, and comment generation — it will eliminate up to 90% of manual work and allow you to scale your audience faster.

My experience:
— Telethon, Pyrogram: from userbot automation to multi-account systems with anti-spam logic.
— AI integrations: GPT-4, LLaVA, Whisper (text, photo, video, voice analysis).
— Architectures on FastAPI + Celery for heavy asynchronous tasks and user-friendly control panels.
— Spam prevention optimization: action randomization, human-like scenarios, logging.

Cases:
Recently, I made a bot that connects GPT-4 and Whisper for audio transcription and response generation; the client completely eliminated manual moderation and started processing 5 times more content without increasing the team.

Two MVP options:
1. Basic ($400–500)
Userbot on Telethon
Participant parsing, filtering by activity/media
Sending AI comments via DM or chat
Logging in SQLite (who was sent / what was generated)
(Timeline: 7–10 days)

2. Extended ($700–800)
Backend on FastAPI + Telethon
Web panel: adding groups, filters, log viewing
Asynchronous queues (Celery) for stable operation
Message style customization, ready for integration with Make.com
(Timeline: 12–16 days)

Questions for clarification:
1. Priority — parsing + AI first or everything at once?
2. Is visual analysis of photos/stories needed in the first version?
3. Are you planning to scale (multi-account, web panel)?
4. What message style for AI comments (casual / business)?

Ready to discuss details and start work. Can we have a call within the next 24 hours? Expand

Budget: 399 EUR Deadline: 11 days

My name is Artur, I am co-owner of SUBI Labs – a team of experienced professionals from Poland, specializing in developing Telegram userbots and AI integration. We are ready to implement your Telegram userbot in Python (Telethon/Pyrogram)

The deadlines and cost depend on the scope of work

Sincerely,
SUBI Labs Team

Budget: 400 EUR Deadline: 1 day

Hello.
I have read your project with interest. I am confident that I can do effective and quality work that meets your requirements and expectations. Over 8 years of experience.

Budget: 600 EUR Deadline: 10 days

Why choose me:

Experience in creating complex Telegram user-bots and tools for automation of promotion.

Implementation of profile parsing, media content, and working with Telegram API (including bypassing typical restrictions).

Integration of modern neural networks to create natural reactions and comments.

Flexible settings tailored to your style, niche, and tasks.

Willingness to handle both technical support and further development of the tool.

Brief about the approach:
Full turnkey development, clean and secure code, proper data storage, scalability options. I will coordinate all details of the userbot work before starting, show tests, and provide a video demo.

I will be happy to discuss details — write if you have special requirements or want to see an interface example! Expand

Budget: 400 EUR Deadline: 2 days

Hello, I have previously created similar bots, I have extensive experience, I will do everything quickly and efficiently

Budget: 400 EUR Deadline: 5 days

Hello! I have experience creating userbots on Telethon, in particular I developed the Lulla project — a voice AI assistant for children. There we implemented voice command recognition, activation by a key phrase, and integration with backend via REST API. For generating responses, we used OpenAI GPT-4, and for voice output — Azure TTS API.

Also, in Lulla there was logic for audio processing, session management, and data caching for offline mode. I have experience with OpenAI Vision — I can connect a model for image analysis and description generation.

For your userbot, I can suggest an architecture based on Python + Telethon with integration of GPT or LLaVA for generating live comments on media, considering anti-spam measures and logging. The MVP will take about 5 days, the budget — $400–700.

Budget: 600 EUR Deadline: 12 days

Telethon / Pyrogram:
No, but I know how to work and I am honest

GPT / visual models:
Integrated OpenAI GPT-4, GPT-4o, worked with LLaVA, as well as BLIP-2 for generating comments on images (via Hugging Face). I can control the style and context of phrases.

Similar projects:
– Parsing Telegram group members with filtering
– Creating a bot in iframe for customer communication

MVP architecture (proposal):

Backend:

Python + Telethon (userbot)

SQLite or JSON storage for logs

Asynchronous task queue (asyncio / aiojobs)

AI integration module (OpenAI, LLaVA, etc.)

Limit control, logging, randomization of actions

AI integration:

Dedicated module for media processing (extracting frames from stories, prompt generation)

Setting “communication style” via templates

Additionally:

CLI panel for launching and monitoring

Possibility to expand to Telegram WebView logic (via Puppeteer or headless browser)

Timeline and cost:

MVP: 7–12 days

Cost: $600 fixed (Can be divided into stages: parsing, AI integration, auto-sending) Expand

Budget: 499 EUR Deadline: 1 day

Hello!
My name is Roman and I am one of the top 5 developers in the 'Artificial Intelligence and Machine Learning' category among ~1000 specialists on the platform.
I guarantee:
- Quick and high-quality task completion
- Strict adherence to deadlines
- Regular communication throughout the process
I would be happy to discuss the details of your project in private messages.
Price is negotiable.

Budget: 400 EUR Deadline: 15 days

Good afternoon, I am ready to start working and discuss all the details in private messages.