The project focuses on making a facial emotion detection interview assistant that keeps track of the person in scope's attention
We can identify what the person is trying to convey by looking at their facial expressions. As they say, "a picture is worth a thousand." A conversation is 5% verbal and 95% non-verbal, and in an attempt to try to help machine understand what we do, we try to teach it the concept of "emotion" by training it on facial emotion datasets.
This project will help a student to guide them to enhance their interview skills and a company to judge the performance of an interviewee.
- Basic Deep Learning concepts
- Basics of Convolutional Neural Networks
- Python
- Tensorflow
- Keras
- Basic Machine learning libraries (scikit-learn, pandas, matplotlib, seaborn)
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Discord - https://discord.gg/YFMd3CW
- Anubhav Jangra - Project Lead
- Piyush Tiwary - Mentor
- Badrinath Reddy - Mentor
http://cs229.stanford.edu/proj2017/final-reports/5243420.pdf
https://www.kaggle.com/ashishpatel26/facial-expression-recognitionferchallenge#fer2013.tar.gz
This project is licensed under the MIT License - see the LICENSE.md file for details