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Saathi

“Saathi” is an Artificial intelligence based listening ear to children and detects the mood variations of them on day to day basis

Saathi

“Saathi” is an Artificial intelligence based listening ear to children and detects the mood variations of them on day to day basis
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Problem statement

Because of lack of infrastructure and social problems, children get to go through lot of security and safety issues in schools and outside. This project is about ensuring safety of children in schools by promising them a platform to express themselves .

About the Project

“Saathi” is an Artificial intelligence based listening ear to children and detects the mood variations of them on day to day basis. Also, we intend to correlate the color choices of children with their voice data so that we can generate data to validate our studies to contribute to existing research.

Solution

Existing safety measures are basically in the form of CCTV camera or security personals both of which are mostly post-incident help and in most cases CCTV footages are not directly taken as a foolproof evidence by the court.
 
Our solution has the potential to tackle the problem before the child gets into a possible danger.
 
It is when one of the team member highlighted that sexual harassment has been a very acute problem among children and there are not enough counsellors for every child. What solutions could be devised so the problem can be reported and victims can get educated ? Three of us are school teachers. One of us faced similar issue when one of his student faced an unfortunate incident. The child showed the traits of confusion and anxiety. Also, loss of attention was also observed.
Challenges:
  1. How to categorise the different levels of abuse so that there is no misreporting of the incident. 
  2. Kids feel safe enough to report any mishappening, and everyone is educated not to repeat such abuse. 

Prototypes:

a. Color choices change with mood for the age group of 26. 

b. We asked attendees what colour they have in their minds for today and yesterday.

c. We see the change in colour of the days as reported by the attendees. So, we are going to put the colour choices.

User-uploaded image: IMG_2177.jpg

It has speakers, a microphone, battery-operated, wifi-enabled, and IoT. At backend keyword with context analysis. Speech analysis for stress /discomfort. Alert parents/authorities to report the incidence.

User-uploaded image: Kidsafe+Poster+F3-05.jpg

Project Contributors

Vivek Martin,Manas Chhabra, Ivan D Lepcha

View detailed project documentation

Problem statement

Because of lack of infrastructure and social problems, children get to go through lot of security and safety issues in schools and outside. This project is about ensuring safety of children in schools by promising them a platform to express themselves .

About the Project

“Saathi” is an Artificial intelligence based listening ear to children and detects the mood variations of them on day to day basis. Also, we intend to correlate the color choices of children with their voice data so that we can generate data to validate our studies to contribute to existing research.

Solution

Existing safety measures are basically in the form of CCTV camera or security personals both of which are mostly post-incident help and in most cases CCTV footages are not directly taken as a foolproof evidence by the court.
 
Our solution has the potential to tackle the problem before the child gets into a possible danger.
 
It is when one of the team member highlighted that sexual harassment has been a very acute problem among children and there are not enough counsellors for every child. What solutions could be devised so the problem can be reported and victims can get educated ? Three of us are school teachers. One of us faced similar issue when one of his student faced an unfortunate incident. The child showed the traits of confusion and anxiety. Also, loss of attention was also observed.
Challenges:
  1. How to categorise the different levels of abuse so that there is no misreporting of the incident. 
  2. Kids feel safe enough to report any mishappening, and everyone is educated not to repeat such abuse. 

Prototypes:

a. Color choices change with mood for the age group of 26. 

b. We asked attendees what colour they have in their minds for today and yesterday.

c. We see the change in colour of the days as reported by the attendees. So, we are going to put the colour choices.

User-uploaded image: IMG_2177.jpg

It has speakers, a microphone, battery-operated, wifi-enabled, and IoT. At backend keyword with context analysis. Speech analysis for stress /discomfort. Alert parents/authorities to report the incidence.

User-uploaded image: Kidsafe+Poster+F3-05.jpg

Project Contributors

Vivek Martin,Manas Chhabra, Ivan D Lepcha

View detailed project documentation

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