Today almost everyone around the globe uses the internet. These internet users have different attributes like age, browsing behavior, gender, location, etc. that plays an important role for different business enterprises to target their users and also helps in providing the better user experience. Earlier researchers demonstrate that the user browsing behavior is related to their basic attributes. In this project, an approach has been used to detect the age group of users based on their browsing patterns using a data mining algorithm. Age information of different users is inferred using the web browsing behavior which varies for different users.