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

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.

Strip AI writing patterns from any text. Claude Code skill with 507-entry banned word list, structural pattern detection, and 12-check validation.

VirusTotal for AI slop detection. Scan any text or URL with 23 independent detection engines running locally.

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.

🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline.

Machine and Deep Learning Classification Web Application with Streamlit

AI Text Slop: A Quantitative Study of Stylistic Convergence Across Six Language Models in Japanese Technical Writing