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DormSafe

Summary

DormSafe uses intelligent machine learning to scan roommates faces on easy to use mobile applications when entering their dorms. Roommates can view entry logs for their dorm and administrators can be assigned to manage multiple rooms. Admins can access all the logs of every room in a given building or floor through a custom Web App. A microcontroller is able to manage locking mechanisms of the door of a given dorm using a small servo and LEDs are used to signify the status of a door’s lock. DormSafe aims to create a safer campus for students through advanced technology and aims to make colleges as secure as possible.

Technical Flowchart

Screen Shot 2021-05-30 at 2 56 13 PM

Credit

Machine Learning and Python Backend:
Facial Recognition Machine Learning: https://github.com/serengil/deepface
Dependencies (Pubspecs) for Web App and Mobile App:
Camera, Firebase Core, Flutter Login, Firebase Auth, Google Sign In, Cloud Firestore, Image Picker, Esys Flutter Share
Arduino Libraries:
WifiNina, Servos, LEDs

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