Inspiration
Now a days we are recieving many fraud calls regarding our personal details, bank details. These fraud calls are dangerous. The people who are educated can identify these calls but people who are illiterate can be betrayed by these types of Fraud calls
What it does
This model identifies the fraud calls using the words frequently used by the person making calls.
How we built it
The model built using the Convolutional Neural Networks model. The data set of fraud calls was taken, it was split into training and testing data. The CNN architecture was built to fit the training data.
Challenges we ran into
Literally, There were no challenges faced during the model building process.
Accomplishments that we're proud of
I am satisfied that the model was successfully built with an accuracy of 0.89
Built With
- keras
- python
Log in or sign up for Devpost to join the conversation.