09/10/2021
Open-sourcing our emotion detection algorithm for detecting emotions from frontal face selfies. Possible use cases include:
1. Gaming: Adaptive gaming where the game detects emotions via facial recognition and adapts to them.
2. Mental health: Combined with voice analysis helping mental health professionals diagnose diseases such as depression.
3. Education: Personalised software that can adapt to kids' emotions.
4. Public service: Emotion AI technology can detect people's expressions, and hence, understand the general mood of the population.
Training something like this from scratch using Microsoft Azure, Google Cloud or AWS, can cost thousands of dollars. We at EVAAI are trying make these technologies more accessible for everyone.
Learn more about EVAAI at https://evaai.io/
Open-source models for image and facial recognition. - GitHub - fnqureshi/EVAAIDeepLearning: Open-source models for image and facial recognition.