List of Projects I worked on so far:

• Glot 500 low resource langauges generation for over 500 languages

• Automated Lyrics Generation using finetuning of transformer models 

• Sentimental and Psychological Analysis Application to do customer Feedback Analysis (Screenshots attached below) 

• Custom message Generation for marketing products to clients based on Linkedin Profile data and GPT-3 

• Text Simplification using tokenized BART and CWI for assisting people with disabilities 

• Knowledge Graph Based Question Answering with adversarial attacks 

• Voice Recognition in German web app using flask, bert, javascript, html, css 

• Enhanced Chatbot with question answering techniques such as question type classification, keyword detection 

• Extractive and Abstractive Text Summarization using Transformers BERT, BART, T5, attention based seq2seq models 

• Text Generation using GPT-3, Context Free Grammars and Markov Chain 

• Keyword Extraction using text rank algorithms 

• Face positioning application for ID cards operation using FLASK, HTML, CSS and Djinga 

• Neural Image Captioning using CNN-RNN structure from Google Flicker 8k dataset integrated into Flask Web application as a stock photography website 

• Chatbot using LSTM and tensorflow on movie conversation dataset 

• Packman Game using BFS & A* algorithms and pygame module in python which is available in my introductory video!! 

• Object Detection Using Fast RCNN, RCNN and YOLO on Zombies, birds, cars and tumors 

• Image classification using CNN with data augmentation and transfer learning on CIFAR images 

• Speech Recognition on Turkish, Hebrew and romanian data by fine tuning transformers wav2vec 

• Arabic Poem Meter Classification from Acoustic Data using CNN 

• Language and Gender Identification from voice records into German, Spanish and English using CNN and BiLSTM 

• Topic/Concept Modeling using SVD/NMF decomposition 

• Arabic tweets Sentiment Analysis using conv1d and LSTM with an overall accuracy of 94% 

• Metamorphic Malware Detection from sequential malware and malware images using CNNs and LSTMs 

• Speech Synthesis and Recognition using CNN-RNN architectures 

• Normalizing Flows baseline architecture implementation from scratch on pytorch 

• Neural Machine Translation using attention based LSTM seq2seq model from French to German 

• Text Classification using neural networks, naive Bayes classifiers, Decision Tree Classifiers, random forests, etc 

• Text correction recommendation system by grammar checking acceptability using T5 

• A LOT OF SEARCH ENGINES USING TEXT SIMILARITY TECHNIQUES LIKE COSINE SIMILARITY and word2vec 

• Neural Question Answering using Siamese Networks 

• Hybrid Image from two or more images using MATLAB, Python, and OpenCV. 

• Car palette detection and recognition system using opencv and machine learning models 

• Database System for a Travel Guidance System using C#. 

• CVPR 2019 Papers Information Retrieval Search Engine using SPARK