Inspiration

It has been proved by various research papers that depression and sadness can take its toll on someone's physical health. Not only does it increase your chances of getting sick, it can also reduce your lifespan by up to 10 years. _ (Canadian Medical Association Journal: http://www.cmaj.ca/content/189/42/E1304)_

AInsurance's uses

There are various ways in which insurance premiums are calculated. Tobacco users are usually charged 1.5x more than non smokers, even though depression has higher toll on someone's health, no insurance premiums could be calculated until NOW.

AInsurance's emotion detection can also help the insurance seller negotiate his prices. Since our AI can detect anger, sadness, happiness, disgust, and fear. The AI detects if the insurance premium's price is too high or not high enough, and the insurance seller could negotiate better.

AInsurance helps you gather the data and process it in a way you never knew you needed!

Implementation

We have implemented a multiple-layer convolutional neural network which detects someone's emotion in real time via video feed and uses a basic algorithm to calculate insurance price using the insurance interview video. We then feed 30 thousand 48x48 pixels pictures through the network for 15 epochs. The model returns approximately 68% accuracy. A total of 7 emotions can be detected (Sad, Happy, Angry, Disgust, Fear, Neutral and Surprised)

We used: Python Tensorflow Opencv-python Keras

Try it out!

GitHub

Built With

  • python
  • tensorflow
  • opencv-python
  • keras
  • convolutional-neural-network
Share this project:
×

Updates