cipher-attack/Super_telegram
Project Akasha: A human-mimicking Telegram UserBot powered by the Gemini Neural Engine. It automates conversations naturally, generates studio-quality voice notes, and manages media without revealing its bot identity.
This project helps individuals manage their Telegram presence by automating conversations with human-like responses, generating voice notes, and handling media. It takes incoming Telegram messages and user commands, processing them through a neural engine to produce context-aware text replies or studio-quality voice notes, while also automating media tasks like music downloads and image manipulations. This is ideal for social media managers, content creators, or busy professionals who need to maintain an active, personalized presence on Telegram without constant manual interaction.
Use this if you need to automate your Telegram conversations and media management with personalized, context-aware responses that mimic human interaction.
Not ideal if you require a simple auto-reply system without advanced AI capabilities or media processing, or if you prefer direct, manual control over all your Telegram interactions.
Stars
7
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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