Next-Generation AI Chatbot for Telegram with 210K+ Real Conversations
NexiChat - Where conversations feel natural
- ✅ 210,000+ Real Conversations from Cornell Movie Dialogs
- ✅ Professional Movie Dialogues - Natural, engaging responses
- ✅ Auto-Learning - Gets smarter with every chat
- ✅ Multi-Language - Hindi, Hinglish, English support
- ✅ Smart Matching - Context-aware replies
- ✅ Emoji Support - Modern chat experience
- ✅ Group & Private - Works everywhere
- ✅ Sticker Replies - Fun interactions
- ✅ MongoDB Powered - Lightning fast
- ✅ Admin Controls - Full customization
Powered by the Cornell Movie-Dialogs Corpus:
- 304,713 movie lines
- 210,775 conversation pairs
- Real, natural dialogues
- Professional quality responses
Plus custom Indian conversations (Hindi/Hinglish)
- Python 3.11+
- MongoDB
- Telegram Bot Tokengit clone https://github.com/DAXXTEAM/NexiChat
cd NexiChat
pip3 install -r requirements.txtEdit config.py:
API_ID = "your_api_id"
API_HASH = "your_api_hash"
BOT_TOKEN = "your_bot_token"
MONGO_URL = "your_mongodb_url"
OWNER_ID = "your_telegram_id"python3 -m nexichat| Command | Description | Access |
|---|---|---|
/start |
Start the bot | Everyone |
/chatbot |
Enable/disable in groups | Admin |
/ping |
Check bot status | Everyone |
/id |
Get user/chat ID | Everyone |
/stats |
View statistics | Everyone |
/broadcast |
Send broadcast | Owner |
1. Pre-trained Intelligence
- Loaded with 210K+ real movie conversations
- Professional, natural responses
2. Auto-Learning
- Watches group conversations
- Learns patterns automatically
- Gets smarter over time
3. Smart Replies
User: "what's up"
Bot: "Nothing much, just chilling"
User: "are you okay"
Bot: "Yeah, I'm fine. Why do you ask?"
4. Multiple Response Variations
- Same question → Different answers
- Natural conversation flow
- Never repetitive
The bot learns automatically from group chats:
User A: "how was your day"
User B: "it was amazing, thanks for asking"
→ Bot learns this pattern
The more it's used, the smarter it gets!
- Language: Python 3.11+
- Framework: Pyrogram (MTProto)
- Database: MongoDB
- Dataset: Cornell Movie Dialogs + Custom
- Conversations: 210,000+
- Conversations: 210K+
- Languages: 3 (English, Hindi, Hinglish)
- Response Time: <1 second
- Accuracy: Professional movie-quality
- Learning: Automatic
Try it now: @EquXRobot
git clone https://github.com/DAXXTEAM/NexiChat
cd NexiChat
pip3 install -r requirements.txt
python3 -m nexichatCreated with ❤️ by DAXX
- Channel: @ALLTYPECC
- Group: @HEROKUFREECC
- Developer: @Imeshu
If you like NexiChat, give it a ⭐ on GitHub!
MIT License - Feel free to use and modify!
- Cornell Movie-Dialogs Corpus
- Pyrogram Team
- MongoDB
- DAXX TEAM
NexiChat - Next-Generation Conversations 🚀
© 2026 DAXX TEAM