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Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.
This project is to develop a named entity recognition (NER) model to identity medical entities such as diseases, symptoms, treatments in the unstructured medical text written in natural language.
X-Ray Analyzer is a deep learning model which uses a combination of CNN to extract features from the X-ray images and LSTM networks to generate results.
Making use of Recurrent Neural Networks (RNNs), the aim was to create a new Simpson’s TV script at Moe’s Tavern. I’ve used a part of Simpson’s dataset of scripts from 27 seasons.
Shakes AI is a small language model developed by me, trained on around 1 million lines of text data containing Shakespearean literature. This model has the capability to generate Shakespearean sonnets, that match the rhyme and meter patterns of the original works, while also providing a unique and creative touch to the generated poems
Part of Deep Learning Foundation Nanodegree (AIND) from Udacity. Project 3 on the subject of using Recurring Neural Networks (RNN) to generate TV script
As part of Udacity Deep Learning Nanodegree project...In this project, we generate a new, "fake" TV script, using RNNs, based on patterns it recognizes in the Seinfeld TV scripts training data.