Group Photo based Attendance Recognition System

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  Main Page

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  Account creation

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  Login Page

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  Home Page

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  Student Registration

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  Uploading group photo

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  Attendance details

Inspiration

Basic attendance scanning

What it does

The project aims to revolutionize traditional attendance management systems by leveraging the ResNet model v1, a powerful deep learning algorithm for facial recognition. In this innovative system, a group photo serves as the input, while a meticulously maintained student database contains pertinent information and facial images.

How we built it

Frontend-HTML, CSS. Backend-SQLite, Python.

Challenges we ran into

1.Recognition errors 2.Input size constriction

Accomplishments that we're proud of

Ensuring accuracy of 96% with robust privacy and security of data.

What we learned

1.Machine learning algorithm. 2.Deep learning algorithm resnet v1. 3.SQLite database and integrating frontend and backend together.

What's next for Group Photo based Attendance Recognition System

Improving group photo functionality by increasing input with vast number.

Built With

• css3
• html5
• python
• resnet
• sqlite