It provides the females with a platform to check if they are at the risk of Cervical Cancer by using an ML-based model.
We also provide them with the information and answer their questions regarding the disease.
data preprocessing: scaling the data and reducing the parameters depending upon their contribution to predicting the target variable
choosing the correct model for prediction: we judged various models based on their accuracy while working with the least number of parameters
send data through backend and frontend: we took help from the mentors to solve this problem
Tracks Applied (1)
Technologies used
Discussion