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Yalmo

An integrated system for families of children with ASD

Project Type

Seed Startup

Skills
Multiple platform design, Flowcharts, Pitch deck design, Video design.
My Role

Product Designer 

Duration

2020/2021

Yalmo

Yalmo is the pivot made from Autisleep.
This platform is an advanced tech solution that will help families of children with ASD monitor their child's behaviour. Autistic Spectrum Disorder (ASD) holds many challenges: Functional, behavioural and communication problems. These families experience a lot of stress around the child, they don’t really know what he is going through during the day and how he slept at night.

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The problem and the pivot

Parents and caregivers don't always understand the reasons for the challenging behaviour of children with ASD.

Researches have shown that poor sleep at night leads to behaviour problems and on the other hand, daily activities affect sleep quality.

While Autisleep monitors the child's behaviour with the help of a sensor and allows parents to monitor their child's sleep level and understand their behaviour, in-depth research and conversations with malformations in the field (such as Dr. Lydia Gabis, head of the child development department at "Tel Hashomer" Hospital) were made and we concluded that in order to fully understand the child's behaviour, a broader record should be made during the day and night. We realised that the day occurrences affect sleep and sleep affects day occurrences, they are in correlation.  Automatic messaging bot gathers the daily information about child's activities from parents and caregivers and from a sleep sensor during the night. AI system will Analyse the data and produce executive advise for the parents to create a stable secure routine and stress free environment.

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The Persona

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AI - The data collecting 

The information about children's sleep is monitored by a contactless sensor at night, aggregated to the daily information and stored in the cloud.

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The caregiver 

During the day, the child's caregivers update relevant information into the app, that includes: food, sleep during the day, screens exposure,
medicine provided, activity, etc.

Due to the busy schedule of caregivers and teachers, information entry will be done via a bot that will send a message at predetermined times.

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Data correlation
In the initial data presentation, all the indices appear equally.
After daily use of the app, the indices start to change and indicate the main effects on sleep.
The user can also run a filter on the data and compare specific information.

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