AutoAttend
Automated attendance tracking via facial recognition
AutoAttend
View SourceA proof-of-concept application levaraging open source face vectorization models and vector databases to perform automated classroom attendance tracking via facial recognition. It uses a host of open source technologies, all connected together to create an application that can be used to track attendance in a classroom setting.
- React.
- Built with React, a JavaScript library for building user interfaces.
- Electron.
- Electron is a framework for building desktop applications with web technologies.
- Milvus.
- Milvus is an open-source vector database powered by Faiss, an open-source library for efficient similarity search and clustering of dense vectors.
- Docker.
- Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers.
- Tensorflow.
- Tensorflow is an end-to-end open source platform for machine learning.
- Supabase.
- Supabase is an open source Firebase alternative.