Identify all the entries and structural data with the working zone.


We construct models of reality based on millions of facial emotional metadata and eyeball tracking data.


Information is best understood in context with all the other information around it.The context engine can be used to analyse any claim, fact and assertion..


The most efficient means of communicating a complex analysis is through the combination of natural language narrative , a story understable by all..

Eye Ball Tracking

Eye tracking is a sensor technology that makes it possible for a computer or other device to know where a person is looking. An eye tracker can detect the presence, attention and focus of the user. It allows for unique insights into human behavior and facilitates natural user interfaces in a broad range of devices. The ability to control a computer using the eyes is also vital for people who are unable to speak or use their hands..

AIDoings tracks how the eyes move while reading the passage in the laptop in front of him. The immediate data collected reflects the cognitive processes in the brain. The analysis is adjusted depending on the student’s grade level, which school, place and the time of the school year when you assessed the student. The information gathered is analyzed based on thousands of recorded eye movements and assessments such as difficult words,rapid automatized naming, word strings, and reading of nonsense words and real words. We do have the word of interest in which we want to put emphaize on and see the outcome.

Facial Emotional Tracker

Emotional faces communicate both the emotional state and behavioral intentions of an individual. They also activate behavioral tendencies in the perceiver, namely approach or avoidance. Here, we compared more automatic motor to more conscious rating responses to happy, sad, angry and disgusted faces in a healthy student sample. Happiness was associated with approach and anger with avoidance. However, behavioral tendencies in response to sadness and disgust were more complex. Sadness produced automatic approach but conscious withdrawal, probably influenced by interpersonal relations or personality. Disgust elicited withdrawal in the rating task whereas no significant tendency emerged in the joystick task, probably driven by expression style. .

We analyse the emotionals patterns the kids goes thorugh reading the passage.


Early discovery is key when it comes to helping struggling Millennials readers achieve their potential in the classroom. Many schools rely on the traditional combination of standardised assessments, comprehension tests and teacher observations in the age of 4th Industrial revolution when it comes to evaluating reading. These can be very effective, however, often require large amounts of time and consequently delay the all-important interventions and personal attention..

With new research even suggesting that early intervention can help change a child’s biometric, it is important that teachers are given the tools of the 4th Industrial revolution they need to provide pupils with tailored support whilst they are still learning and refining their language skills. Its where AIDoings has emerge as a company which wants to integrate the eye-ball and facial expression of the Kids while he/she is reading .

Why Choose us?

Product engineering team fully dedicated to build products and frameworks keeping in mind the Millennial Kids ..

Dedicated to build product for Millennials Kids..

Wants to Redefine Education Ecosytem by Redefining Intelligency..

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