Swarnimashukla / Automatic-attendance-management-system

ROLLCALL an automatic and smart attendance marking and management system which uses Microsoft Azure’s Cognitive service at its core to create a system that could make sure that no human intervention is required and provides government the ability to monitor the attendance of the schools and helps the government officials in mark fake schools.
MIT License
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Image Classification using cnn #139

Closed ParthSingh0506 closed 3 years ago

ParthSingh0506 commented 3 years ago

Related Image Classification using cnn

Closes: #[issue number that will be closed through this PR]

Describe the changes you've made

The idea behind this is that our model will be able to classify the image of male and female with accuracy of above 91 % . As it is a Automatic attendance system the system should also be capable to classify the students by sending the images to our neural network and by that NN will classify the images .

->Added Image-Classification.py file the CNN file ->Added network_image,json file of the CNN model such that it can be used either on website or an application in short words it is ready for deployment ->Added the Dataset that has been used for training as well as testing ->Added the weights.hdf5 the weight of the CNN

Checklist:

Screenshots

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original screenshot updated screenshot

CNN

Swarnimashukla commented 3 years ago

@ParthSingh0506 can you please create this pr in a separate branch instead of master directly , make a branch with your name and then create a pr for this

ParthSingh0506 commented 3 years ago

@Swarnimashukla I have created this PR on separate branch not directly on the main branch.