The processes now in place to record and report attendance are laborious and time consuming. When attendance is recorded manually, mistakes are more likely to occur. One of the most popular biometric methods now in use is facial recognition. It has a wide variety of potential uses, including but not limited to those of identification, authentication, and security. The goal of this system is to replace the current manual attendance system with a fully automated one. The first half of this system is already live and contains features like Redis database integration, facial recognition, registration forms, and database access. During the second stage, we use tools like Streamlit and Dashboard.