Developing an application that generates MIDI sequences, enabling automated music composition and enhancing production techniques by harnessing the power of machine learning using PyTorch. Expected completion in June 2024.
Developing a NAICS search engine leveraging GenAI and web scraping techniques to accurately classify businesses by industry. The solution will provide enhanced classification efficiency and accuracy over traditional solutions, aiding in strategic business analysis. Expected completion in July 2024.
Stock portfolio tracker for the management and analysis of stock investments. Users can add and remove stocks to simulate portfolio adjustments and get insights into the performance of investments through comprehensive charts and tables, all within a user-friendly interface designed for straightforward navigation.
Developed an NLP toolkit for text processing, featuring unigram, bigram and trigram models for statistical analysis and synthesis, incorporating corpus preprocessing, frequency-based analysis, and text generation. The toolkit also streamlines the processing of large text datasets.