BERT-based AI-generated academic text detection model
[NeurIPS 2024] DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
[NeurIPS 2025] DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
A simple web app that can be used to detect AI-generated text in the Indonesian language, using various AI models such as LSTM, GRU, Bi-LSTM, Bi-GRU, and IndoBERT
AI Text Detection A machine learning-based system to differentiate AI-generated text from human-written content. Uses models like TF-IDF, BERT, Random Forest, and Neural Networks, with an ensemble approach for improved accuracy.
Make AI text undetectable. 30 AI patterns, 5 voice profiles, zero dependencies. Drop-in Claude Code skill that transforms AI-generated text into natural human writing using burstiness, perplexity, and voice injection.
AI Content Detector - Detect ChatGPT, Claude, Gemini & AI-Generated Text using statistical analysis. 9 detection signals, bulk analysis, real-time API.
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