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Data Processing

Project Management

5.0

(2 reviews)

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Arbak M.

@arbakai

5.0

2

2.8

2.8

100%

Artificial Intelligence Expert

$30 USD / Hour

・

Armenia (3:00 PM)

・

Joined on March 20, 2024

$30 USD / Hour

・

Professional skills in Chatbot development, Computer Vision applications, and Data Science. Dedicated to delivering high-quality solutions tailored to client needs. Ready to leverage expertise and creativity to tackle diverse projects in freelance opportunities.

Verifications

On time

100%

On budget

100%

Accept rate

100%

Repeat hire rate

50%

See all PHP Developers in Armenia

Portfolio

Portfolio

In video, I tested 100 images and got 95% accuracy.
Speed is also fast.
And I didn't any deep learning model and any commercial api or engine.
I used my own image processing algorithm and tesseract engine.
I adjusted tesseract engine configuration properly for my project.

Breaking Captchas with High Accuracy and Speed

In video, a person is flipping book pages.
This project removes all dirty and unnecessary frames and filters only clean book pages.
Finally it reshapes all book pages into rectangle shape so that people can read them comfortably.
Strong background in computer vision and mathematical skill is necessary for this.

Book Extraction and Transform into Rectangular Shape From Vi

In video, a person is flipping book pages.
This project removes all dirty and unnecessary frames and filters only clean book pages.
Finally it reshapes all book pages into rectangle shape so that people can read them comfortably.
Strong background in computer vision and mathematical skill is necessary for this.

Book Extraction and Transform into Rectangular Shape From Vi

11787176

Custom ChatGPT model for Generating Interview Questions

11780978

Bot - Transforming Audio and Sentences with Same Meaning

I have used Python, OpenCV, Deep Learning model to remove background from image.
I have deployed my web application using Flask.

Background Remover Web Application

Animal monitoring with computer vision is an important smart farm application. Deep learning is used to monitor the health of specific livestock such as pigs or cattle. Recognition and localization of livestock such as pigs in farms with real-time algorithms using common, inexpensive surveillance cameras. Real-time monitoring of entire animal groups with multiple cameras across different farms. Define specific areas within camera streams (region-of-interest) to improve the recognition accuracy. Flexible processing logic to use insights for integrating with other systems, send alerts, and create reports in real-time dashboards.

Animal Monitoring

In video, I tested 100 images and got 95% accuracy.
Speed is also fast.
And I didn't any deep learning model and any commercial api or engine.
I used my own image processing algorithm and tesseract engine.
I adjusted tesseract engine configuration properly for my project.

Breaking Captchas with High Accuracy and Speed

In video, a person is flipping book pages.
This project removes all dirty and unnecessary frames and filters only clean book pages.
Finally it reshapes all book pages into rectangle shape so that people can read them comfortably.
Strong background in computer vision and mathematical skill is necessary for this.

Book Extraction and Transform into Rectangular Shape From Vi

In video, a person is flipping book pages.
This project removes all dirty and unnecessary frames and filters only clean book pages.
Finally it reshapes all book pages into rectangle shape so that people can read them comfortably.
Strong background in computer vision and mathematical skill is necessary for this.

Book Extraction and Transform into Rectangular Shape From Vi

11787176

Custom ChatGPT model for Generating Interview Questions

11780978

Bot - Transforming Audio and Sentences with Same Meaning

I have used Python, OpenCV, Deep Learning model to remove background from image.
I have deployed my web application using Flask.

Background Remover Web Application

Animal monitoring with computer vision is an important smart farm application. Deep learning is used to monitor the health of specific livestock such as pigs or cattle. Recognition and localization of livestock such as pigs in farms with real-time algorithms using common, inexpensive surveillance cameras. Real-time monitoring of entire animal groups with multiple cameras across different farms. Define specific areas within camera streams (region-of-interest) to improve the recognition accuracy. Flexible processing logic to use insights for integrating with other systems, send alerts, and create reports in real-time dashboards.

Animal Monitoring

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5.0 · 2 Reviews

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John Lee W.

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•

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10 months ago

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