Skip to content
View tahangz's full-sized avatar

Highlights

  • Pro

Block or report tahangz

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
tahangz/README.md

I am Taha Naguez, a final year AI/ML Engineer Student

Python Django FastAPI Flask OpenCV PostgresTensorFlow Scipy scikit-learn PyTorch Pandas NumPy mlflow Matplotlib Keras Docker Arduino NotionnVIDIA

Popular repositories Loading

  1. Hybrid-Xception-Vision-Transformer-Deepfake-Detection Hybrid-Xception-Vision-Transformer-Deepfake-Detection Public

    A deepfake detection system combining Xception and Vision Transformer (ViT) models to identify AI-generated images and videos. Trained on the DFDC dataset, this project leverages TensorFlow/Keras f…

    Jupyter Notebook 12 1

  2. Vapi-AI-Voice-Assistant Vapi-AI-Voice-Assistant Public

    A full-stack voice assistant application built with Vite + React on the frontend and Flask on the backend, integrated with Vapi and powered by GPT-5. The app allows users to fill in personal detail…

    JavaScript 10

  3. Detector_Conan_for_deepfakes Detector_Conan_for_deepfakes Public

    Detector Conan is an advanced deepfake detection platform (developed with MERN-Stack + Django for AI API) that uses AI to identify manipulated images and videos. The platform provides a user-friend…

    JavaScript 7 1

  4. Multimodal_OCR_LLM Multimodal_OCR_LLM Public

    This project is a user-friendly web application that allows you to upload PDFs, DOCX files, or images, automatically extracts text using advanced OCR techniques, and generates concise summaries usi…

    Python 7

  5. DDoS-Detection-With-AI DDoS-Detection-With-AI Public

    An end-to-end system for real-time detection of Distributed Denial of Service (DDoS) attacks using machine learning. Built using a Random Forest classifier, a Django REST API, and a React dashboard…

    Python 6

  6. transformer-chatbot transformer-chatbot Public

    A simple chatbot built using the vanilla Transformer architecture (Vaswani et al., 2017). It uses the encoder-decoder attention mechanism to learn basic conversational patterns from paired text data.

    Jupyter Notebook 6