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25 lines
1.4 KiB
YAML
25 lines
1.4 KiB
YAML
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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evidence:
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- fact: "PennApps Spring 2019 submission per repo README; 99.6% Python; README confirms TensorFlow, YOLOv3, Twilio API stack"
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source: https://github.com/prdlk/CV-Livestock-Protection
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retrieved: 2026-07-03
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- fact: "Devpost submission to PennApps XIX (project started by Prad Nukala, 2019-02-03; 3-person team); built-with tags python, tensorflow, twilio, yolov3; includes YouTube demo"
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source: https://devpost.com/software/swiper-no-mauling
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retrieved: 2026-07-03
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