Tezeract
Nov 16, 2023
No image
Completed
SWI
<$5,000
7-12 months
United States
2-5
Service categories
Service Lines
Artificial Intelligence
Domain focus
Healthcare
Challenge
The initial idea of SWI was to design an application for elderly people who depend on caretakers due to their age-related concerns to share their daily activities with their children by just recording audio to ensure that they are getting adequate care.
The initial idea of SWI was to design an application for elderly people who depend on caretakers due to their age-related concerns to share their daily activities with their children by just recording audio to ensure that they are getting adequate care.
Solution
Tezeract did an in-depth analysis of the idea and turned it into a fully functional real-time solution that analyzes and scans parents’ recorded voices to detect emotions, opinions, and sentiments expressed in their voices and automatically rates their sentiments in the score chart.
Tezeract did an in-depth analysis of the idea and turned it into a fully functional real-time solution that analyzes and scans parents’ recorded voices to detect emotions, opinions, and sentiments expressed in their voices and automatically rates their sentiments in the score chart.
Results
SWI makes it easier for elders to share their daily activities with their children by just recording audios and sending it to their loved ones in real-time. SWI analyzes and scans the recorded voices of parents to detect the opinions, sentiments, and emotions expressed in their voices and automatically rates their sentiments in the score chart using advanced sentiment analysis techniques and machine learning algorithms.
SWI makes it easier for elders to share their daily activities with their children by just recording audios and sending it to their loved ones in real-time. SWI analyzes and scans the recorded voices of parents to detect the opinions, sentiments, and emotions expressed in their voices and automatically rates their sentiments in the score chart using advanced sentiment analysis techniques and machine learning algorithms.