The problem HEALTHSYSTEM INNOVATION solves

problem statement - improving healthcare sector

key points
the new technoloy is evoliving everyday
now days we are seeing the lot of improvement in healthcare sector but we are unable
to reach with the people with special abilities

so we came up with a solution that we will try to improve the lifestyle of those people

solution
we have come up with a solution where they can integrate them with their smartwatches
for example if someone cant hear so we build a solution where the spoken items is converted into the written text into the smartwatch which helps in the communication with
the other prople this is samsung galaxy watch 4 clasic lte which runs on wear os

and a model is also created where if device radius is there then it can hear the surrounding sound and tell them that there is noise around them for example if someone is alone at home and using our service the if someone is banging the door then the you wil be notified by vibration of your watch if someone is calling for help or emergency
then also he will be notifieed and in future model we will be try to differentiate the
voice which help to tell who is talking or by what purpose

now soution for dumb we have created the software which also help them in easy communication. with which we have trained some gestures with is useful for them to convey
and easily communicate
demo

and also made that they can type the words and that can be spoken
and for blind we have used the the digital image processing to tell hem that what he is seeing or what kind of objects is present is present in front of them demo
its better to see than see nothing

in future we will try to integrate using ar model for example like vision pro or redmi mop
to sense the object and try to replace the stick with new headset in market
and it will tell how far is the objects

here if someone is is feeling sick or some abnormal conditio

Challenges we ran into

Training AI models poses significant challenges. Overcoming data limitations, ensuring model interpretability, and refining accuracy are key hurdles. Addressing these challenges is crucial for developing robust and effective AI solutions in various domains.