Abstract: The main purpose of this project is to build a fingerprint python-based mess attendance monitoring system for Mess Management to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking,bill calculation. The technology working behind will be the finger recognition system. The human finger is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a finger to deviate or being duplicated is low. In this project, finger databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, finger will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a excel sheet. At the end of the day, the excel sheet containing attendance information, meal usage and billing regarding all individuals is monitored.

| DOI: 10.17148/IJIREEICE.2025.134101