The problem Anicare solves

We, at Anicare, are focusing on pet-related problems faced by pet owners. .
Our application deal with :

1. Details of good vet which is not common like MBBS doctors on the feature
   of care maps section of our app.
   2.Health monitoring band/belt to detect any unusual disease or sickness and
   instant treatment.
   3.Training module along with grooming products at one stop.
   4.Hourly/Daily/weekly reports of your pets and tracking health staus and live
   location of your pet.
   Health Monitoring : Follow the Anicare Band Health Index, sleep score and hourly
   view to monitor existing medical issues or get alerted to early sign of illness,

Tracking : Integrated Sensors to track sleep quality, calories burned, overall health
and behaviour. Set fitness goals and track minute by minute activity.

Integrated Training Modules - Get Additional Peace of mind by training your Pet
according to AniCare Band Modules. Pet parenting with training is more fun.

About Our Health Monitoring System :
It is a integration of FitBands with an app which aims to provide a one stop solution
ranging from grooming to healthcare facilities. The app helps to diagnoise and
provide first care health facilities and the band is designed with the motive to make
the pet comfortable with the band and provide a sense of motherly care.

Challenges we ran into

We are integrating multiple sensors to take into consideration the health parameters of various animals. Going by the technical aspect of the sensors we need to take into consideration the noise margin of various sensors. So we need to take into consideration the net noise margin of the sensors combined. Also we need to leave some scope for future addition of more sensors for more accuracy purpose leading to increase in the noise margin. This demands more technical study of the sensors which we are currently working on.

Also, we are facing hurdles in the layering of machine learning model with the ideal data-type which requires intervention by experts to include the behavioural aspects and emotional intelligence of the animals. There is a possibility that few people may face some problems to utilize our product in the most optimum manner

One of the main challenges we faced was integrating multiple sensors while maintaining accuracy and reliability. We had to overcome technical hurdles related to sensor compatibility, data synchronization, and noise reduction.

Additionally, developing machine learning models that could accurately interpret pet behavior and health data posed its own set of challenges. We also encountered difficulties in ensuring seamless communication.