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docs(projects): restructure and add details to several projects
- Floadt: Add skills and detailed description - Likely: Add skills and detailed description - Pool: Add skills and detailed description - Space Bolt: Add skills and detailed description - Swiper No Mauling: Add skills and detailed description - Timebo[AR]d: Add skills and detailed description - VolunTree: Add skills and detailed description - Yue: Add skills and detailed description - Move several yml files to their corresponding directories
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title: Swiper No Mauling
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start: 2019-02-01
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end: 2019-02-01
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project-url: https://github.com/prdlk/CV-Livestock-Protection
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skills:
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- Python
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- TensorFlow
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- YOLOv3
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- Computer Vision
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- Machine Learning
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- Twilio API
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description: |
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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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associated-with: ../about/education.yml
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