AI vs Human: Decoding Discourse with LLMs

The Rise of Generative Text

With the explosive growth of Large Language Models (LLMs), differentiating between human-written essays and AI-generated content has become a critical challenge for educational institutions and content platforms.

Detection Mechanisms

In the ‘LLM Hackathon: Decoding Discourse’, I developed a machine learning solution to predict the origin of essays. By analyzing linguistic patterns, perplexity, and burstiness, I built an ensemble combining Logistic Regression, Random Forest, and SGD Classifiers.

Perfect Accuracy

The ensemble model achieved a perfect 1.00000 score on the private leaderboard. This highlights that AI-generated text still leaves statistical footprints that well-tuned classical AI classifiers can detect with absolute precision.