Combined text generation with audio deepfake technology to create synthesized, human-like quotes. Utilized LSTM, Transformers, and Tacotron2 for comprehensive audio synthesis.

Developed a PointNet Classifier using PyTorch for 3D object classification and semantic segmentation. Leveraged the ModelNet10 dataset and preprocessed 3D mesh data into point clouds.

Comprehensive study on automated grading systems featuring auto-assessment, intelligent feedback, question-answering, and sentiment analysis for educational applications.

Developed predictive ensemble ML models for patient readmission prediction within 90 days due to heart failure. Achieved state-of-the-art results using XGBoost, LightGBM, and CatBoost.

Comprehensive analysis of BERT and RoBERTa models for sentiment classification and tokenization of social media content, specifically Twitter data.