Using Real-Time Object Tracking/Segmentation for AR project

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Greetings. I did very similar related NN( neural network ), computer vision, and implement different algorithms like YOLO, Tiny YOLO, and HOG. I also did projects related to open cv. NOTE! -Please do not consider me fresh canidate,I have 4 year experence in NN( neural networks) and AI (artifical intelligence).you can my interview on skype ID is (live:a4ff43f81eace53a). -Payment mathode will be varified soon. ****BackGround********** From my background, my project related to computer vision is a visual aid for blind persons in which Real-time object was detected and classified. After classifying convert the object name in an audio single. ------ technicalities-------- -Download dataset of different images by using pyimage. -After downloading the dataset generate a weight file of each set i:e(Training process). -Then write a script in python which take real-time video from a USB camera and compare its frame with weight files of a different dataset then generate a result in text formate -Then convert this text into voice by using the text to speech library of python 3. -Shows confidence level i:e How much our system confident about the object. -Complete 3 videos of the project are in portfolio (Must watch) https://www.freelancer.com/u/irtazaafzal690 ***********Accessories I have******* -Nvidia Jetson nano with Power supply -Creative webcam (USB) -RaspberryPI 3,3b and 4. -Picam 2.1 and 1.3 (CSI port). (picture with proof will be sent on demand)