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NguyenHung952/nhan_tin_voi_gai_ai

Framework thiết lập persona AI giả lập nam Gen Z Việt Nam, tối ưu hóa giao tiếp tự nhiên và chân thực như người thật trên mạng xã hội. Hệ thống tuân thủ nghiêm ngặt các bộ lọc chống "mùi AI", căn chỉnh nhịp cảm xúc (EQ Catch, Spontaneous) và quản lý 3 chế độ xuất (Studio, Live, One)

JavaScript GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

MTS_v14 (Message Tuning System) is a prompt-engineering toolkit to generate human-like, Vietnamese Gen Z-style chat responses. It targets conversational AI, chatbot and messaging developers, NLP researchers, and teams building dating or assistant bots who need natural, context-aware texting. Key features: - Signal reading: analyze conversational energy and cues - Emotional calibration: adjust flirtation and closeness levels - Human filter: remove “AI” tone and over-polished lines - Differentiation engine: produce varied, non-mechanical options - Response archetypes: Mood/Image, EQ Catch, Pull-then-Push, Sincere/Soft, Spontaneous - Anti-AI rules and prompt architecture - Tech: prompt engineering, NLP, emotional modeling, context processing Roadmap includes memory-based context, a Vietnamese Gen Z dataset, and multi-platform integration.

Language breakdown (by bytes)

CSS
20.9%
HTML
23%
JavaScript
56.1%

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match
Description +25 matched: ai
GitHub topics no match
README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 75 / 100

Position among AI repos in the same language

We track 4,110 JavaScript repos, of which 3,169 score 40 or above on AI relevance. 664 have more stars than this one (top 16.2%), and 155 score higher (top 3.8%).

Owner

Account
NguyenHung952
Type
User
Followers
0

🚀 Transforming ideas into reality with code 🛠 Building innovative web apps & network utilities 📚 Constantly learning & exploring new technologies

Dates

Created on GitHub 2026-05-15
Last push 2026-06-01
First seen here 2026-05-15
Last fetched 2026-08-18 16:19

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