![](https://cdn.prod.website-files.com/660bc56554d8c22303f02814/6749988ab5d001b7239a21ea_truenet_overview.webp)
![](https://cdn.prod.website-files.com/660bc56554d8c22303f02814/6749988ab5d001b7239a21ea_truenet_overview.webp)
AI content detection tool that identifies whether text or images are AI-generated or human-created. It targets researchers, educators, and organizations, solving issues like plagiarism and content authenticity.
Using ML/DL techniques, we developed models (SVM, LGBM, Random Forest, XGBoost and CNN) with features like semantic similarity and embeddings. Tools include FastAPI, Docker, GCP, Streamlit, and MLflow.
Refine existing models, add further modeling for images ML-flow, UI/UX improvements, optimize computation time.
Demo day video
Tech stack
Python
Keras
FastAPI
![](https://cdn.prod.website-files.com/660bc56554d8c22303f02814/6705199cfbf4d003cc11c015_docker.webp)
Docker
HTML/CSS
![](https://cdn.prod.website-files.com/660bc56554d8c22303f02814/670519ac7342b3bf9a749f82_streamlit-mark-color.png)
Streamlit
TensorFlow