Artificial intelligence app -2


I am looking for experienced AI expert who worked similar Skin Detect project. The goal of this project is Detects person's heart rate via webcam or through video by tracking tiny changes in face colorization due to blood flow and Detects a person’s face skin color in real-time. For best results, try to minimize movement. Please don’t waste your time and mine if you have any doubts about your ability to train the model and produce a software with accuracy, accuracy is very important for this research project, if there was any issue capturing skin color change and skin perfusion because of skin color, race , head position, makeup, the result will be incorrect.


* Python 2.7.x

* OpenCV 3.0

* NumPy 1.11

* SciPy 0.17.1

* Dlib 18.17.100

* Pre-trained Model

Skills: Python, Mobile App Development, OpenCV, AI (Artificial Intelligence) HW/SW, Artificial Intelligence

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About the Employer:
( 1 review ) North Bergen, United States

Project ID: #29857937

15 freelancers are bidding on average $950 for this job


Hi! I have experience with machine learning and ai I am not 100% sure that I can do this but if you cannot find any other developer please contact me I have a youtube channel where I solve technical questions asked by More

$1000 USD in 18 days
(11 Reviews)

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$900 USD in 7 days
(13 Reviews)

Hello, I am Achuth. I am a researcher at the Indian Institute of Science Bangalore. I have 6+ years of experience in machine learning ,deep learning and signal processing. Please refer to my profile for more info. I More

$1000 USD in 15 days
(12 Reviews)

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(4 Reviews)

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$900 USD in 7 days
(9 Reviews)

Hello,I 've read your requiremetns. I think your idea is wonderful. I am very interested in your project. I have many experieces of Image Processing by using the Python,OpenCv and so on... I think detecting face color More

$900 USD in 7 days
(4 Reviews)

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(2 Reviews)

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(2 Reviews)

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(1 Review)

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(2 Reviews)

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(0 Reviews)

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(0 Reviews)

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(0 Reviews)

i am an expert in deep learning models i have worked on a similar projects on of them was to detect skin cancer and got 81% percent accuracy (the benchmark for this project was 87% accuracy) so it would be easy to work More

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(0 Reviews)

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(0 Reviews)