Azka Khurram
FAST
· 2022
·
I18 - 0461
Email
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2022
Education
SEECS
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DOB
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Career
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Target role
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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)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 239
Created: 1778223768