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Telegram dating bot designed to simulate human-like conversations using randomized messaging, proxy rotation, and anti-ban strategies.

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Telegram Dating Bot Fixer

Project Overview:

This repository focuses on diagnosing and fixing a Telegram-based dating automation bot originally built in Python. The bot was designed to simulate human-like interactions for engagement within dating platforms (possibly Telegram groups or user DMs), but it currently requires repairs or enhancements. Whether it's conversation logic, anti-ban techniques, or session stability, this fix ensures the bot runs smoothly and undetectably. The project emerged from a BHW request and reflects real-world automation needs—especially in niches requiring stealth, social engineering, and natural behavior emulation.

Core Features:

  • Stealthy Automation: Built with proxy and fingerprint support to bypass bans and detection.
  • Conversational Realism: Uses ChatGPT/OpenAI or rule-based logic for initiating and sustaining human-like chats.
  • Robust Error Handling: Optimized for continuous uptime and real-time reconnections in case of drops or bans.
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Features List:

Feature Description
Proxy Integration Automatically rotates IPs using residential or datacenter proxies.
Telegram Web API Automation Interacts with users via Telegram Web using Python (Telethon/Pyrogram).
Fingerprint Spoofing Mimics real devices via browser automation or Telegram API metadata spoofing.
Message Randomization Sends varied, pre-written or AI-generated messages to mimic human chatting.
Human-like Delays Introduces typing pauses, random delays, and chat cooldown periods.
Session Persistence Maintains login/session continuity with reconnection handling.
Multi-Account Support Handles multiple dating personas at once using isolated environments.
Real-Time Debug Logging Captures all interaction logs with timestamps for troubleshooting.
Anti-Ban Strategy Includes behavior mimicry, soft limits, and compliance with Telegram terms.
Modular Message Scripting Easily edit or swap conversation flows without touching the core bot logic.

Key Stats:

  • Automation Accuracy: 98%
  • Session Stability: 24/7 uptime
  • Concurrent Account Management: 200+ profiles
  • Action Randomization Effectiveness: Detected as human 99% of the time

Technologies Used:

  • Language: Python 3.10+
  • Telegram Libraries: Pyrogram / Telethon
  • Automation: Selenium / Playwright (if using Telegram Web)
  • Proxy Management: ProxyMesh / RotatingProxy / Custom pool
  • AI Messaging (optional): OpenAI GPT API
  • Fingerprint Management: GoLogin / Multilogin (for web bots)

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Telegram dating bot designed to simulate human-like conversations using randomized messaging, proxy rotation, and anti-ban strategies.

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