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Abeera Fatima

FAST · 2022 · I18 - 0411
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, React, Java, Github, Firebase, Pycharm IDE, Visual Studio Code, Visual Studio, OpenCV

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Medi-Eye 

Medi-Eye is a web and mobile devices-based monitoring software, which uses live camera footage 
to observe the premises of medical institutes and alert the respective authorities of any suspicious 
or threatening activity that may occur. It aims to replace the physical labour stationed for security 
monitoring with a highly accurate and low-response-time digital system to enhance security 
protocol. 
Our system has the following six major features: 
1. Parking/Waiting Area Monitoring:  
Checking for free parking spaces.  
2. Employee Attendance: 
Attendance will be recorded as the employees enter the premises of the institute. 
3. Aggressive Behavior Detection: 
Any violent actions (fighting, pushing etc.) will be reported. 
4. Prohibited Actions Detection: 
Certain actions are not permissible in some areas for example smoking in hospital hallways. 
5. Weapons Detection:  
Checking if someone is wielding an object that can cause possible harm to a person or property. 
Isolation Ward Monitoring:  
Ensuring no unauthorized personnel enters the ward. 
 
 
 
 
 
Technology Used: 
Python, , React, Java, Github, Firebase, 
Pycharm IDE, Visual Studio Code, Visual Studio, OpenCV 
Supervisor Name: 
Mr. S. Muhammad H. Mustafa 
Group Members:   
Azka Khurram (I18 - 0461) 
Abeera Fatima (I18 - 0411)

AI enrichment

Abeera Fatima is a BSCS graduate who contributed to Medi-Eye, a computer vision-based security monitoring system for medical institutes. The project utilized Python, OpenCV, and React to implement features such as weapons detection, behavior analysis, and access control.
Skills (AI)
["Python", "React", "Java", "OpenCV", "Firebase", "Computer Vision", "Git", "Software Development"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 239
Created: 1778149999