This programme was written at the height of the Covid-19 pandemic to allow users to get a sense of the public’s mood on Twitter in real time. The programme allows the user to enter a Covid-19 related search term and return the top ten positive, negative and neutral tweets. From there, users are given an option to compare the public’s Twitter sentiment to the daily case rate and other Covid statistics for Ireland and use this information to perform analyses if they wish. The programme is written in Python, using a Django framework. The programme connects to the Twitter API with the help of the Python library Tweepy, while another library, TextBlob, helps performs the sentiment analysis on the tweets. The graphs are displayed using Javascript while the data is stored in the datastore on GCP.