Enables the use of TensorFlow for object identification via UI interface or via POST requests. Using Python FastAPI, TensorFlow, IntelIA TensorFlow-Serving, R-FCN and Docker

This is the last Project in order to obtain the Intel Edge AI Nanodegree from Udacity, the objective is to create an application capable of moving the computer pointer using only the movement from the head and eyes.

During my 𝐈𝐧𝐭𝐞𝐥 𝐀𝐈 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 Internship, I worked on applying 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 and data-driven approaches to optimize manufacturing processes. The internship focused on developing solutions that 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐜𝐨𝐧𝐭𝐫𝐨𝐥

Intel AI Program Course

The people counter application demonstrates how to create a smart video IoT solution using Intel® 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