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title, startDate, endDate, description, repo, tags
| title | startDate | endDate | description | repo | tags | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Swiper No Mauling | 2019-02-01 | 2019-02-01 | Engineered a financially viable, AI-powered computer vision application designed to help farmers autonomously monitor livestock and prevent predator attacks. | https://github.com/prdlk/CV-Livestock-Protection |
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- Engineered a financially viable, AI-powered computer vision application designed to help farmers autonomously monitor livestock and prevent predator attacks.
- Implemented the YOLOv3 object detection model using Python and TensorFlow to accurately identify predators and assess hostility levels within live camera frames.
- 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.
- 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.