ABOUT US
Emotion detection has become one of the biggest marketing strategies in which mood of the customer plays an important role. So to detect the current emotion of the person and suggest him the appropriate product or help him accordingly will increase the demand of the production the company.
Humans have the natural ability to use all their available senses for maximum awareness of received messages. Emotional detection is natural for humans but it is very difficult task for machines.
Our aim is to develop a AI software that can be installed in music system of automobiles and can recognize the emotional state of the driver and automatically takes safety measures to avoid accidents
OUR TECH STACK
Data Collection: The first step is to collect data from various sources such as text, voice, or images.
Feature Extraction: The raw data is transformed into a set of features that can be used to represent emotions.
Emotion Classification: The next step is to classify them into different
emotions. This is typically done using machine learning algorithms.
Model Training: The emotion recognizer is trained using labeled data. The training data is used to fine-tune the machine learning algorithm and optimize its accuracy.
Model Testing: After the model has been trained, it is tested on a separate set of data to evaluate its accuracy and generalizability.
Deployment: Once the model has been trained and tested, it can be deployed in production.
OUR TEAM
Innovative, Talented, Driven
Om Agarwal
Founder
XYZ
Co-Founder