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ZengdarD's Projects

-streamlit-app-images icon -streamlit-app-images

This is a Python script for a Streamlit app that analyzes images to determine whether they are real or fake. The app uses a Keras model trained on the CASIA dataset to make predictions.

ai_detection_pattern icon ai_detection_pattern

StendhalGPT is a web application that allows users to input two texts and compare them using various text analysis metrics. The application is built using Streamlit and uses the Natural Language Toolkit (nltk) library for text processing and analysis.

ai_detector_pattern_streamlit icon ai_detector_pattern_streamlit

Ce script Python contient plusieurs fonctions pour l'analyse de texte en français. Il utilise des bibliothèques telles que NLTK, OpenAI, NumPy, Pandas, Matplotlib et Streamlit pour fournir des fonctionnalités telles que le calcul de la richesse lexicale, grammaticale et verbale, la génération de texte

keras_in_cpp icon keras_in_cpp

This project provides a simple example of using a Keras-TensorFlow model train in Python in Cpp.

pinecone-streamlit icon pinecone-streamlit

This script uses Pinecone, Streamlit, and OpenAI APIs to create a simple search engine that returns the most similar text snippets from a pre-indexed dataset based on a user's query. Here's a breakdown of the code:

serveur_flask_auth_stripe_ai icon serveur_flask_auth_stripe_ai

This is a Flask web application that integrates with Auth0 and Stripe for user authentication and subscription management. The application provides various routes for handling user login, logout, subscription, and profile management.

streamlit-app-for-text-analysis icon streamlit-app-for-text-analysis

This Streamlit app provides various text analysis tools, including text generation, text comparison using a Markov model, and text metrics calculation.

streamlit_analyse_images icon streamlit_analyse_images

This project is a Streamlit application called "StendhalGPT Gogh" that allows users to upload an image and detect regions of interest using the ELA (Error Level Analysis) method. The application uses OpenCV for image processing and Streamlit for the user interface.

streamlit_detect_deepfake icon streamlit_detect_deepfake

This is a Python script for a Streamlit app that uses a pre-trained Keras model to classify images as "fake" or "real".

twitter-sentiment-analysis-bot icon twitter-sentiment-analysis-bot

Ce projet est un bot Twitter qui effectue l'analyse de sentiment sur les tweets en temps réel et génère des rapports visuels.

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