ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
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Project Addition: Pneumonia Prediction using CNN #720
Hey @Niketkumardheeryan ,
I would like to raise an issue in order to contribute to GSSoC '24.
I am proposing to make a project named Pneumonia Prediction using CNN.
AIM: to implement a robust cnn model that can efficiently predict the pneumonia of a human, based on the x-ray image
APPROACH:
Gathering the Data: Data preparation is the primary step for any machine learning problem. We will be using a dataset from Kaggle for this problem. https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia/
Model Building: After gathering and cleaning the data, the data is ready and can be used to train a machine learning model. We will be using this cleaned data to train using keras.
Deployment: The final developed model will be deployed in the form of an api on as well
Kindly assign this to me under GSSoC '24 and provide a suitable level to it accordingly.
Hey @Niketkumardheeryan , I would like to raise an issue in order to contribute to GSSoC '24. I am proposing to make a project named Pneumonia Prediction using CNN. AIM: to implement a robust cnn model that can efficiently predict the pneumonia of a human, based on the x-ray image APPROACH: Gathering the Data: Data preparation is the primary step for any machine learning problem. We will be using a dataset from Kaggle for this problem. https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia/ Model Building: After gathering and cleaning the data, the data is ready and can be used to train a machine learning model. We will be using this cleaned data to train using keras. Deployment: The final developed model will be deployed in the form of an api on as well
Kindly assign this to me under GSSoC '24 and provide a suitable level to it accordingly.