Inspiration
Endangered species have been reducing in number rapidly over the past decade and we wanted to find a means to reduce it.
What it does
How we built it
Challenges we ran into
Data availability and quality: One of the key challenges in developing an AI-powered solution for protecting endangered species is the availability and quality of data. While there is a lot of data available on endangered species and their habitats, it can be difficult to access and may not always be accurate or up-to-date.
Identifying potential threats: Another challenge is identifying potential threats to endangered species and their habitats. There may be many different factors that contribute to the decline of a species, and it can be difficult to distinguish between natural fluctuations and human-caused threats.
Real-time monitoring: Monitoring endangered species and their habitats in real-time is essential to prevent harm and take timely action, but this can be challenging in remote or inaccessible areas where traditional monitoring methods are not effective.
Ensuring privacy and security: Another challenge is ensuring the privacy and security of sensitive data, such as the location of endangered species, while still making it accessible to conservationists and park rangers who need it to take action.
Accomplishments that we're proud of
What we learned
What's next for AI powered solution to protect endangered species
Built With
- apkmody
- c++
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