ESRA APP

com.techyflow.esra

Total installs
100+
Rating
5.0(1 reviews)
Released
June 4, 2020
Last updated
April 28, 2022
Category
Reference
Developer
Younss Ait Mou
Developer details
Name
Younss Ait Mou
Website
http://www.qkons.com
Country
unknown
Address
unknown

Screenshots

ESRA APP Screenshot 1 - AppWisp.com
ESRA APP Screenshot 2 - AppWisp.com
ESRA APP Screenshot 3 - AppWisp.com
ESRA APP Screenshot 4 - AppWisp.com

Description

ESRA APP

The Emotional Sensing Recognition App (ESRA) is an Artificial Intelligence mobile application that provides feedback to parents, teachers, and mental health practitioners on the emotional state and well-being of a child as represented through their drawings. For best results use the app to analyze drawings of children between the ages of 5 and 10 years

USAGE

The ESRA APP was designed with simplicity in mind. To get started with the ESRA APP, the user should first create an account and add a child’s name. Once the child is added, the user can start the evaluation process by capturing the child’s drawing. The ESRA APP will analyze the drawing and provide feedback on the emotional state of the child in relation to the drawing provided. The app will provide either a positive emotional score or a negative emotional score. The algorithm was built with the help of Art Therapist and AI technology. Users are able to provide feedback on the ESRA emotional state responses to help improve the accuracy of the algorithm.

FEATURES

• Analyze the emotional state of a child.

• Manage multiple numbers of children profiles and their emotional well-being

• Save the emotional well-being responses for each child

• Track the emotional status of a child over time (days, weeks, months)

• Provide feedback to the ESRA App team for continuous updates and improvement

• Simple design and use for parents, teachers, and mental health professionals.

RESEARCH BEHIND ESRA APP

ESRA is based on scientific research conducted by the College of Science and Engineering (CSE) at Hamad Bin Khalifa University (HBKU). ESRA AI Vision algorithm was developed and trained with images verified by an art therapist using Google AI vision algorithms. The AI model used by ESRA has an accuracy rate of 82%.

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