Day by day we are moving ahead to lead an extra ordinary life which will be totally controlled through AI. Everyday we can see many invention which are properly shifting us in a next level and also there are many possible outcomes which are helping us to believe that future is near.
A research paper study also made a great effect to motivate for any project, And there was 2 research papers which was very helpful to instruct many info to gain many knowledge also there was another article post which was hinting the project and that inspires us a lot
In the early stages We have worked very hard for the Application development. Not only we have worked in the core development, but also we have maintained our focus to create every user interface interactions to make more user friendly.
But in the mean time we have faced various issues to make it work in Android app using the Dart language. Our Biggest breakthrough came when its about to integrate Google maps API ( Most Precisely Known for Places API )
After getting more complicated experience we decided to shift our resources from app development to Web App dev. In this section We gave our effort all to make it work and look more satisfying with beautiful Interaction. And We able to it successfully.
But the problem arise when it again calls about API. But in the mean time using the google cloud free trial we got the opportunity to use Places API for a short which will end the trial usage in the early January 2023. But in our first stage to create A map interface with tourist, Attractions, Restaurant category with ratings category has been make it on his point.
As soon as we have made our map functionality workable we directly shift to the data analysis part where our goal was to collect tourist landmark as much as possible we tried our all the way of hard and ended up as being collected with 45k Image Data and 10k Labels to buckle up all the points and details properly. To make it more wide and open we also include other parts of South asia such as India, Pakistan and so on
After Collecting all of its actual real time data, we began to train the model. To train the model we use the dataset which includes all the label and image data and run them into Tensorflow hub and connect them into the codebase where user can Provide their raw data and it will forward them in pipeline to generate the testes output with proper details
After the successful competition for the detection program, We move forwarded to organize and tried our best to give a better look in both site wether thats a map section or that's a land mark detection. We rebuild the landmark detection program and give them a better look using python markdown language steamlit and also connect both under the same pipeline which makes it more connected.
The team is working hard to make this project Success
In the mean time We have completed our way to reach the goal where we are now able to detect every land mark using the users location and AI technology in Asian era. Right now we are done with our South asian land mark. Soon we are going to work on wider project.