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During my ๐ˆ๐ง๐ญ๐ž๐ฅ ๐€๐ˆ ๐Œ๐š๐ง๐ฎ๐Ÿ๐š๐œ๐ญ๐ฎ๐ซ๐ข๐ง๐  Internship, I worked on applying ๐š๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐ข๐š๐ฅ ๐ข๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž and data-driven approaches to optimize manufacturing processes. The internship focused on developing solutions that ๐ž๐ง๐ก๐š๐ง๐œ๐ž ๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐œ๐ฒ, ๐ช๐ฎ๐š๐ฅ๐ข๐ญ๐ฒ ๐œ๐จ๐ง๐ญ๐ซ๐จ๐ฅ

  • Updated Oct 6, 2025
  • Python

The people counter application demonstrates how to create a smart video IoT solution using Intelยฎ hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree

  • Updated May 24, 2020
  • JavaScript

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