This repository contains the dataset and code used in our paper, “I Am Aligned, But With Whom? Diagnosing Structural Alignment Failures in Multilingual LLMs” It provides tools to evaluate how LLMs represent cultural values across 16 countries, multiple languages, and perspectives.

Nunchi-Bench: Benchmarking Language Models on Cultural Reasoning with a Focus on Korean Superstition

Measuring whether large language models faithfully represent the cultural contexts of users who query them in their own languages.

AI-powered tools for culturally rooted education: indic-learn generates quizzes, storyboards, and animations from Indic story texts for use in platforms like Gurukula.

AI-powered classical dance mudra & posture understanding system using Computer Vision and Machine Learning.

NSTF Logic Extractor & Architect. Passionate about mapping the deep philosophical logic of the Burmese language to define ethical axioms for Wisdom-Driven AI.မြန်မာဘာသာစကားလေ့လာနေတဲ့ဝါသနာရှင်ပါ။Code ကို အဓိကမထားဘဲ၊ AI Ethics နဲ့ Cultural Alignment ကို အာရုံစိုက်တဲ့ Logic Framework တစ်ခုကို ဖန်တီးနေ

Weton Personality Dataset is an Indonesian–Javanese hybrid conversational NLP dataset designed for personality-conditioned AI response modeling based on traditional Javanese weton characteristics. The dataset includes contextual dialogues, emotional interactions, multilingual responses, and human evaluation scoring for NLP and LLM training.