Tamaraw Sonar

Sonar assisted AI prototype designed to enhance the protection of the critically endangered tamaraw. AI poaching Detection System

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Inspiration

It is Inspired by providing a solution to endangered animals conservation of the Tamaraw ''Bubalus mindorensis" - the Philippines' national land animal found only on Mindoro Island. This is Tamaraw sonar where users can help identify tamaraws and threats from camera trap images, similar to a "wildlife spotting" in Mounts Iglit-Baco Natural Park.

What it does

AI system that analyzes camera trap or drone footage . detect potential poaching activity or habitat threats from uploaded images for monitoring and protecting the critically endangered Tamaraw, sending real-time alerts to rangers . AI

How we built it

We built the Sonar Pro model into the project. We built Data Portal so would serve as a centralized, access digital hub for aggregating, visualizing, and sharing data relevant to endangered tamaraw .We built a dashboard with Nextjs . built map to visually track camera locations .built alerts view to visually track Alerts. We built an Upload image Section. built Grant generator to draft rewrite a grant.

Challenges we ran into

Getting api for tamaraw dataset is a challenge. To convert an image to advanced analysis using the Perplexity Sonar API, you can leverage its image upload and multimodal prompt capabilities

Accomplishments that we're proud of

Put self in the shoes of a ranger. Build a natural language Ai workflow, to spot threats . Connect experts ai workflow that uses Sonar pro model.

📷 Surveillance Setup Drones & camera traps monitor protected areas.

🤖 Sonar AI Analysis Footage is scanned using deep learning models to detect poachers or hazards.

🚨 Real-Time Alerts notifications sent to rangers and conservation teams.

🛡️ Rapid Response

What we learned

Sonar API and multi modal image processing and alerts.

What's next for Tamaraw Sonar

Desktop Visual Basic version

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