This paper presents a platform prototype to monitor alcohol consumption for festival's attendees. The platform also aims to raise awareness about alcohol consumption in order to help people control or even reduce their alcohol consumption. The platform consists of a self-contained smart cup which the attendee uses during the day. This platform allows to easily follow the user's alcohol intake based on a model in order to display alerts if necessary. The smart cup embeds sensors to detect the liquid level and its movements. In addition, activity recognition is performed from the collected data in order to recognize when the user drinks and enhance the alcohol intake assessment. The smart cup also embeds LEDs visual displays that provides information about the alcohol intake estimation. This paper presents the design concept of the smart cup along with the technical implementation. Then, the data processing and analysis is presented for the alcohol intake estimation method using activity recognition with a Support Vector Machine classifier. An experiment have also been carried out and shows a good level of recognition above 90% for the “drinking” activity. Next, the feedback identification for the alcohol intake estimation is detailed in the last section. Finally, perspectives for the detection of abnormal behavior based on the alcohol intake assessment and the movements of the cup are introduced.