Developed integrated solution using remote sensing data for accurate crop yield forecasting, with interactive visualizations and crop disease prediction functionality, employing ResNet-50 and LSTM algorithms.
Created an NLP solution to predict the next word in a sentence using LSTMs, and GPT models. Utilized (LDA) for topic modelling with data sourced from Gutenberg eBooks
Generated natural language captions for images (multi-modal) using deep learning models. It explores different architectures and techniques such as CNN-LSTM, CNN-Transformer, and BERT embeddings.