The problem HackNitr solves

Customers in the shopping mall face difficulties in locating the correct shops for finding the suitable product due to the size of the mall and the navigation challenges.
This also affects the shops which are not able to reach to right customers, the business also getting affected as customers are not easily find it
Let's suppose you want to buy a jeans from a mall. You get there and saw lot's of jeans shop. You just randomly get in there and purchased one. But when you reached home and show the jeans to your friend, but your friend says he bought the same jeans from same mall but from different shop.

When we visit any other university, there are chances we do not get to right classrooms unless guided by other. Here Inroute can help
We can also use in ZOO, to locate animals. And can even make the app smarter by including a voice-over for telling directions

Also it's small size won't be consuming much storage that you need to worry about unistalling. It's only 12MB

Challenges we ran into

We first tried to complete this project using Augmented Reality, but very few people can use that because ARCORE supported devices are very less so most of the people won't be able to use it. But then we figured out that it can be done using Intertial Sensors too. So we studied how to implement that and how it's algorithms work.

Second challange was we were not getting any free indoor map sdk, so we used a HASHMAP to store the path and direction to that shop efficiently.
Response from DB api was comming twice everytime, so we used regex to separate the data.