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13 lines
1.1 KiB
Markdown
13 lines
1.1 KiB
Markdown
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---
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title: "Swiper No Mauling"
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startDate: "2019-02-01"
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endDate: "2019-02-01"
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description: "Engineered a financially viable, AI-powered computer vision application designed to help farmers autonomously monitor livestock and prevent predator attacks."
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repo: "https://github.com/prdlk/CV-Livestock-Protection"
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tags: ["Python", "TensorFlow", "YOLOv3", "Computer Vision", "Machine Learning", "Twilio API"]
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---
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- Engineered a financially viable, AI-powered computer vision application designed to help farmers autonomously monitor livestock and prevent predator attacks.
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- Implemented the YOLOv3 object detection model using Python and TensorFlow to accurately identify predators and assess hostility levels within live camera frames.
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- Integrated the Twilio API to build an automated, real-time alert system that immediately dispatches SMS notifications to farmers the moment a threat is detected.
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- Designed an architectural roadmap to transition the computationally heavy detection model to a cloud-based infrastructure, with planned expansions for wildlife researchers to track events of interest.
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