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🚀 Welcome to the Deepfake Detection System project! This project detects deepfake videos using advanced machine learning techniques, leveraging pre-trained CNNs for feature extraction and LSTM networks for temporal modeling. The frontend is built with React, and Firebase is used for database management and user authentication.
This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).
Creating a Twitter Bot using Dan Shiffman's tutorial and scraped data from NYUAD Confessions and C&C using BS4 and Selenium Webdriver. Fed the results into an RNN model to generate "confessions"
A website that contains AI-generated playlists, based on the top 250 user-generated playlists in Spotify for that genre. The playlists were made using the MATLAB Deep Learning Toolbox.