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Optical-Character-Recognition
July 20, 2020 – July 20, 2020
Optical character recognition or optical character reader is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image.
View ProjectHuman-Detection-HOG-Algorithm
July 5, 2020 – July 5, 2020
Human-Detection-HOG-Algorithm — GitHub repository
View ProjectOpenCV-Python-Color-Detection
June 27, 2020 – June 27, 2020
OpenCV-Python-Color-Detection — GitHub repository
View ProjectObjects-Counting-Using-OPenCV
June 26, 2020 – June 26, 2020
Steps in Object Counting will be: Learning how to convert images to grayscale with OpenCV , Performing edge detection , Thresholding a grayscale image , Finding, counting, and drawing contours & Conducting erosion and dilation followed by Masking an image
View ProjectPeople-counting-OpenCV
June 26, 2020 – June 26, 2020
People-counting-OpenCV — GitHub repository
View ProjectPeople-counting-haar-cascade-file
June 26, 2020 – June 26, 2020
People-counting-haar-cascade-file — GitHub repository
View ProjectSmoothning-an-imge-using-Computer-Vision
June 26, 2020 – June 26, 2020
In many image processing pipelines, we must blur an image to reduce high-frequency noise, making it easier for our algorithms to detect and understand the actual contents of the image rather than just noise that will “confuse” our algorithms. Blurring an image is very easy in OpenCV and there are a number of ways to accomplish it.
View ProjectRotating-an-image-using-ComputerVision
June 26, 2020 – June 26, 2020
Rotating an image Clockwise & AntiClockwise using Computer Vision
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on Computer Vision and Machine Learning, which aligns with a Data Scientist role. However, the projects are all personal and lack diversity in terms of team collaboration or real-world business impact. The absence of professional experience or education details makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.