Emoby

Emoby MVP

Inspiration

The inspiration behind the Emoby is started when I lookk at the current SDGs and realize that the children might not have many protection as we assumed. In the terms of Child Maltreat their age are the one that holding them back the most, in which they did not have enough understanding of what happens to them let alone authority to defend themselves. The urgency is increase when in fact based on UNICEF, the perpetrator of the child maltreatment are the one that they closest the most including their parents and caregiver. This fact, realizing me that the children might not have extra protection for themselves. Therefore Emoby is born with initiative to give extra protection that the children needed without having to rely solely on their caregivers.

What it does

Emoby is a fully integrated system that offer extra protection and attention to children. Emoby consists of two main products which are Embedded System which have functionalities to recognize aggresive behaviour such as bullying, or unwanted insult, recognizing children emotion (if there any potential sign of depression or any sign that can lead to child maltreatmet) which are based on facial expression and body language. Another one is Report Application which educational instituion can use for their user which consists of teacher and parents. One the parent side, the teacher can see their child emotion report, their activity, and behaviour as well. If suppose in embedded system, the system detected any unusual behaviour that may lead to suppose depression or stress, the teacher can further investigate by asking the children how they are feeling and probelm which then the teacher can create a report to notify their parents.

How I built it

In this project, i have built product MVP for Emoby specifically for the Report Application consists of two users: Teacher and Parents. Additionally, i have also add code for face detection and emotion recognition using CNN deep learning architecture, with notes that the code is still need further development due to inadequate hardware specification.

Challenges I ran into

The implementation of Emoby can be said quite complex, in which i had challenging time in determining how the emoby can be implement and can be marketed. Additionally, inadequate hardware resource is also this project quiet hard since the embedded system is built based on multi task CNN model and would have to deal with Image data that would required a lot of RAM and GPU resource. Thankfully, with Miss Sujata guidance, my mentor i have been resolved my issue and learn many things from her feedback and advice.

Accomplishments that I'm proud of

At the end of the project, i'm really satisfied on how i can make my idea alive and really optimistic with the thought that my idea could potentially help all the children around the world. Its not definitely not an easy task and i definitely feel thankful to my mentor Miss Sujata that has been guide me and motivate me to work on this project. I also feel proud of myself by completed this project amidst all things that i have to do as well at the same time.

What I learned

Building this project is definitely not an easy task, and there are the times where i feel not sure if i'm going into the right direction or not. Fortunately, through this mentorship, i was able to learn and know different perspective on how i can do things and learn about many things that certainly will help me to got in into the industry itself.

What's next for Emoby

There is definitely room for improvement for Emoby starting from increasing the system accuracy to detect emotion and danger as well as improve the user experience for the application as well. Amidst all the improvement, i'm optimistic that Emoby could become a potential new approach in combating the child maltreatment as well as extra protection for the Children.