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Yaroslav Kohan

Offer Yaroslav work on your next project.

Ukraine Sarny, Ukraine
1 month 18 days back
Available for hire available for hire
on the service 5 years
  • mongodb
  • web developer
  • telegram python bot
  • python
  • telegram bot

Rating

Successful projects
No data
Average rating
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Rating
237
Web Programming
2373 place out of 6432
Bot Development 1
532 place out of 1907

Skills and abilities

Portfolio


  • Advertising and production company REKART-MOS

    HTML & CSS
    Advertising and production company REKART-MOS
  • Adaptive layout LandingPage. Gates.

    HTML, CSS
  • shop

    HTML & CSS
    Clothing sales store. The project is completed on the CMS WordPress. The Woocommerce plugin was used to implement the store, and the pages were created using the Elementor editor in combination with the WoodMart theme.
  • edlesher

    HTML & CSS
    HTML CSS layout
  • 16 USD

    Neurocommenting channels

    Python
    1. Comment Generation System

    Integration with OpenRouter API for access to various AI models

    Customizable prompts through the prompt.txt file

    Automatic trimming of long posts for optimization

    Generation of relevant and contextual comments

    2. Multi-user Mode

    Support for an unlimited number of accounts

    Parallel operation of all accounts

    Session isolation through lock files

    Automatic connection management

    3. Two Operating Modes

    Manual mode: Input of account data via console

    Session mode: Automatic loading from the accounts/ folder

    4. Intelligent Commenting System

    Automatic identification of channels and their related chats

    Searching for pinned messages in discussion chats

    Verification of post and comment relevance

    Sending comments to the appropriate discussion threads

    5. Technical Features:

    Use of Telethon for working with Telegram API

    Asynchronous architecture for high performance

    Locking system to prevent conflicts

    Error handling and resilience to network issues

    Logging of all operations

    Workflow Process:

    Post Detection: The system monitors new messages in channels

    Content Analysis: Extraction of post text and its processing

    Comment Generation: Using AI to create a relevant response

    Discussion Chat Search: Automatic identification of the related chat

    Entering the Chat: Joining the discussion chat if necessary

    Finding the Required Post: Locating the pinned message with the forwarded post

    Sending the Comment: Publishing the generated response in the correct thread

    Setup Requirements:

    Telegram API keys for each account

    OpenRouter API key for access to neural networks

    prompt.txt file with instructions for AI

    Session files or data for authorization

    System Advantages:

    Scalability: Support for multiple accounts simultaneously

    Intelligence: Contextual comments through AI

    Reliability: Error recovery system

    Flexibility: Two operating modes to choose from

    Automation: Fully autonomous operation

    Application:

    Automatic participation in discussions

    Increasing engagement in channels

    Marketing campaigns in Telegram

    Imitating organic activity

    Reputation management through comments
  • 34 USD

    referral Telegram bot for task distribution of stars + casino

    Main functionality:

    1. Referral system

    Inviting friends via a personal link

    Accrual of bonuses for each invited user

    Tracking the number of referrals

    Automatic notification of the inviter about a new referral

    2. Gaming system with gambling

    Dice with various winning coefficients

    Basketball with a betting system

    Darts with winnings graded by target zones

    Bowling with strikes and partial winnings

    Football with different coefficients for hitting the target

    Implemented through official Telegram Dice games

    3. Task system

    Subscription to channels and chats

    Automatic verification of task completion

    Flexible reward settings for tasks

    History of completed tasks

    4. Passive income

    Daily bonus for having a referral link in the profile

    Daily standard bonus

    System for checking the presence of the link in the user's bio

    5. Administrative panel

    Management of bot settings

    Setting the reward amount for referrals

    Adding and removing tasks

    Processing withdrawal requests

    Issuing balances to users

    Viewing statistics and income history

    Moderation of withdrawals

    6. Withdrawal system

    Multi-level system of amounts for withdrawal (15-500 stars)

    Automatic creation of withdrawal requests

    Moderation of requests by the administrator

    Refund of funds upon rejection of the request

    7. Ratings and statistics

    Top users by the number of stars

    Top users by the number of referrals

    Personal statistics of each user

    8. Promotion

    Ready-made system for advertising integrations

    Contact with the administrator for placing ads

    Technical features:

    SQLite database for storing users, tasks, and transactions

    FSM (Finite State Machine) for processing multi-step processes

    Integration with Telegram Bot API via aiogram 3.x

    Support for administrative commands

    System for maintaining a history of all operations

    Processing games through official Telegram Dice mechanics

    Target audience:

    Owners of Telegram channels and communities

    Marketers for attracting an audience

    Users wishing to monetize their activity

    Community administrators for increasing engagement
  • 34 USD

    Parser gifts telegram

    Python
    Main functionality:

    Multiplayer mode

    The system supports simultaneous work with multiple Telegram accounts

    Automatic distribution of the user list among sessions

    Parallel data processing in isolated browser contexts

    Automated data collection

    Searching for users from a file list

    Opening profiles of target users

    Automatic detection of the "Gifts" section in the profile

    Intelligent scrolling to load all available gifts

    Saving screenshots of each detected gift

    Image recognition system

    Loading reference images of gifts from the gifts_ref folder

    Optimized comparison of screenshots with references

    Multi-component similarity analysis (color, texture, structure, features)

    Setting similarity threshold for filtering results

    Ignoring background and analyzing only the content of objects

    Reporting generation

    Detailed statistics on processed accounts

    Grouping results by types of gifts

    Counting the number of identical gifts

    Matching gifts with specific users

    Saving results in text files of various formats

    Technical specifications:

    Using the Chromium browser via Playwright for reliable operation with Telegram Web

    Asynchronous architecture to enhance performance

    Optimized image comparison algorithms focused on speed

    Automatic management of multiple browser windows

    Error handling and resilience to network issues

    Temporary files for organizing parallel work

    Output:

    JSON file with screenshot results

    Text reports detailing found gifts

    Statistics on types of gifts and their distribution among users

    Visualization of results grouped by accounts and gifts

    The system is designed for mass analysis of Telegram profiles to identify and classify graphic gifts, providing a complete picture of the availability and distribution of target images among the user base.

Activity

  Latest proposals 10
Telegram bot for online courses
113 USD
Psychologist's funnel
23 USD
Data copying
16 USD
Setting up auto-posting scenarios through Make
113 USD
Review process for TikTok, Instagram API
226 USD
Script or clicker for copying from Telegram to Viber or vice versa
50 USD
OpenCart exchange with Prom
101 USD
Message aggregation system from 200 Telegram accounts
147 USD
Work with the Moodle site
16 USD
Transfer the website from Opencart to Khoroshop.
113 USD