The problem Ani-Care solves

1.People don't have sufficient time for taking care of their pets.
2.Animals don't get proper medical checkup and health facilities at the right time.
3.Veterinarians are generally underpriced and many people don't even know nearby veterinarians to visit.
4.Pet shops are generally considered to be overpriced thus many people can't afford health care.
5.Having no proper diet chart and health variabes report like sleeping cycle, barking frequency, calories etc.

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

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 tratment.
3.Training module alomg 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.

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.