Twitter monitor allows users to filter Twitter messages based on their personal interests. The intelligent web application continuously listens to the Twitter stream and stores the relevant tweets into a database. The user enters "key words" that describe topics s/he is interested in. Our algorithm calculates, based on the user input, a rating for each tweet which then get potentially displayed in the user interface. Following that, users have the opportunity to evaluate the displayed tweets providing a feedback mechanism for the algorithm by choosing the most interesting tweets for users. The applications also offers many different settings such as e-mail notification, topic categories or a blacklist for topics that are not relevant to the users.