Innovating Through Machine Learning! 

This project leverages machine learning and deep learning models to predict foreign exchange market trends. By analyzing historical data, I built predictive models to forecast currency price movements, helping traders make informed decisions.

This project addresses the challenge of classifying Tunisian dialects by employing deep learning models. Using Selenium, I scraped 32,000 Twitter posts, which were labeled as positive or toxic. Leveraging the pretrained ELECTRA model, the project successfully classifies dialectic text, aiding in automated sentiment analysis of Tunisian dialects.