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blackboxai-1742635028374
March 22, 2025 – March 22, 2025
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View ProjectCesarCiphar-Encryption
December 21, 2019 – December 21, 2019
CesarCiphar-Encryption — GitHub repository
View Projectscreen-recorder
December 21, 2019 – December 21, 2019
screen-recorder — GitHub repository
View ProjectVIRTUAL-ATTENDENCE-SYSTEM
November 25, 2019 – November 25, 2019
VIRTUAL-ATTENDENCE-SYSTEM — GitHub repository
View ProjectBLOGGING-SYSTEM-WITH-ADMIN-PANEL-IN-PHP-AND-MYSQL
August 6, 2019 – August 6, 2019
A blog as you know it is an application where some users (Admin users) can create, edit, update and publish articles to make them available in the public to read and maybe comment on. Users and the public can browse through a catalog of these articles and click to anyone to read more about the article and comment on them. Features: A user registration system that manages two types of users: Admin and Normal Users The blog will have an admin area and a public area separate from each other The admin area will be accessible only to logged in admin users and the public area to the normal users and the general public In the admin section, two types of admins exist: Admin: Can create, view, update, publish/unpublish and delete ANY post. Can also create, view, update and delete topics. An Admin user (and only an Admin user) can create another admin user or Author Can view, update and delete other admin users Author: Can create, view, update and delete only posts created by themselves They can
View ProjectREAL-TIME-FACE-AND-EYE-AND-SMILE-DETECTOR
August 5, 2019 – August 5, 2019
Python | Smile detection using OpenCV Emotion detectors are used in many industries, one being the media industry where it is important for the companies to determine the public reaction to their products. In this article, we are going to build a smile detector using OpenCV which takes in live feed from webcam. The smile/happiness detector that we are going to implement would be a raw one, there exist many better ways to implement it.
View ProjectRealtime-face-and-eye-detector
August 4, 2019 – August 4, 2019
The objective of the program given is to detect object of interest(face) in real time and to keep tracking of the same object.This is a simple example of how to detect face in Python. You can try to use training samples of any other object of your choice to be detected by training the classifier on required objects. Here is the steps to download the requirements below. Steps: Download Python 2.7.x version, numpy and Opencv 2.7.x version.Check if your Windows either 32 bit or 64 bit is compatible and install accordingly. Make sure that numpy is running in your python then try to install opencv. Put the haarcascade_eye.xml & haarcascade_frontalface_default.xml files in the same folder(links given in below code).
View ProjectFace-detect
August 4, 2019 – August 4, 2019
In this we are going to detect faces using existing images not real-time using opencv
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, primarily in Python for computer vision and a basic PHP/MySQL blogging system. While this demonstrates initiative, the projects are mostly foundational and do not align directly with a senior Frontend Developer role. The diversity of technologies is limited, and there's no clear evidence of modern frontend frameworks or collaborative development practices. The focus on individual projects suggests a potential fit for roles requiring independent problem-solving, but team collaboration aspects are not evident.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are functional but do not reveal collaboration, problem-solving approaches, or communication styles.