Contaminated food detection using Machine learning

[RajKhanke]

Is your feature request related to a problem? Please describe. To maintain a good health (mental as well as physical), it is essential to eat good food. if a person eats contaminated or spoiled food then there may be the possibility that because of poor health, person's physical as well as mental health may affect, leading to more pain in those people suffering from psychological disorders and depression. hence, this model will classify the image as good food or contaminated/spoiled food.

Describe the solution you'd like The model will take input image or webcam as input and classify as good food or spoiled food trained using deep learning techniques. i will train the model using different deep learning algorithms like CNN, VGG16 etc and fit the best model to the final project. The complete EDA and analysis will be performed on the data scrapped through web and food websites.

Describe alternatives you've considered In alternative to this, different deep learning models mentioned below can be applied : Imagenet Mobilenet Inception Resnet etc

Additional context none please assign this issue to me as a gssoc 2024 contributor along with gssoc labels and level.

[github-actions[bot]]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[RajKhanke]

@TAHIR0110 please assign it to me

[TAHIR0110]

@RajKhanke assigned!