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TAHIR0110 / ThereForYou

ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.
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Contaminated food detection using Machine learning #173

Open RajKhanke opened 3 months ago

RajKhanke commented 3 months ago

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] commented 3 months ago

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 commented 3 months ago

@TAHIR0110 please assign it to me

TAHIR0110 commented 3 months ago

@RajKhanke assigned!