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This is the PAW Monitoring Tab; where the number of pangolins logs on the website.
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This is the PAW Tracker Tab; where it will be the basis for the officials to hunt the poachers.
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This is the interface of the website for Pangolin Automated Watch' Systems
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The image here is the Path Finder function of the website; which aims to track the possibilities of the path of poachers and pangolins
Inspiration:
Our project is inspired by the continuous illegal trading of the Philippine pangolin (Manis culionensis) in our country that is commonly seen on the news. The rise of the illegal trading of pangolin scales has been alarming because they are considered as a critically endangered species. As Team Maharlika, we want to make a change by stepping in the Zoohackathon stage to bring forth our solution which is the Pangolin Automated Watch (PAW).
What it does?
It is a cross-platform web system that tracks down poachers, dog hunters, and pangolins using drones equipped with IR cameras and camera traps around the vicinity.
How we built it?
The project is coded with comprehensive programming languages and is developed and designed properly. It will use ArcGIS for mapping the location of the habitat of pangolin, TensorFlow for the model prediction , and Firebase for linking real time data for our website.
Accomplishments that we're proud of
For our team, our greatest accomplishments were being one of the finalists for the first Karagathon that was hosted by Oceana Philippines, BFAR, and DOST-ASTI.
What we learned?
We learned in this endeavor that we can make a difference with our product, the Pangolin Automated Watch in many ways, from the technology sector, educational sector, and the environmental sector.
What's next for PAW?
If we are given the chance to be funded for the contest, we would like to expand it to match to our current goals as we said on our pitch video. PAW Presentation
Challenges we ran into:
We had difficulties in the collection of dataset subjected for the mapping since the data we are going to use will be only available after the Phase 2 of our project.
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