From a group of friends in high school, we were brought together by our love for animals. It wasn't until we heard about the ZooHackathon that we realized the critical and dangerous situation of the wildlife trade and transportation. What is more frightening is that the image of Vietnamese people in the eyes of international friends is extremely bad and misleading. We have decided to stand up and fight for wild animals, for the image of Vietnamese people in particular and for the world in general.

What it does

  • App: Receiving reports on sightings of wild animals (whether in the form of products or just seeing them being mistreated). Process, censor and track reports with the targeted audience being citizens.
  • Web: Synthesize, analyze statistics reports to create an overview map and thus creating a common workspace for NGOs and governments.

How we built it

  • At first. our team discussed which the concept and the problem statement that match our skill and knowledge. And then we plan and accomplish the workload step-by-step: front-end and back-ends.
  • We divide the task according to each teammate's skill: 1 processing back-end, 2 UI/UX designer, 1 analyzing and presenting the idea, 1 support back-stage process.
  • Due to our beginner coding skill and the volume of the workload, our main product still remains imperfect and have some flaws. However, we has calculated and predicted all the possibilities that can happen so that we have different strategies for each part.

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Challenges we ran into

  • Coding time is limited, so the main product cannot be completed.
  • Having difficulty in creating a software with high performance and efficiency.
  • Many APIs and algorithms made by big technology companies like Google and Microsoft need to be paid, which is not easy to apply to the project.

Accomplishments that we're proud of

  • Friendly interface, easy to use for both civilians and NGO/Law enforcement users.
  • Many directions for future development.
  • The software/website has a simple but effective idea.

What we learned

  • Develop soft skills including teamwork, time management and risk management.
  • Grasp a better understanding of technology, and especially wildlife habitats.
  • Dig deeper into API in the language of Java.

What's next for Found

  • Organize and promote the project to everyone, encourage everyone to participate.
  • Building a large and wide database with a dedicated dataset for analysis and synthesis, especially for tracking wildlife trade and transportation.
  • Apply machine learning and AI systems to enhance the ability to filter images, identify animals, identify violations of wildlife protection laws.

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