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Hassan Shahzad

FAST · 2022 · I18 - 0441

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2022

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Python, PyTorch, TensorFlow, Keras, ReactJS, React Native, Firebase, Flask, GitHub, Computer Vision, ML, Deep Learning

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.

Hospital Aid 
 
HospitalAid is a real-time video analysis and alert generating system. It is a multi-platform 
application that aims to assist hospitals by removing the need for manual oversight of patients and 
hospital staff. It will monitor the hospital environment through the camera feed, notice various 
abnormalities/incidents and alert appropriate personnel to address the situation. 
Detecting an anomaly will be done purely through Computer Vision & ML, by performing real-time 
analysis of the live video feed coming in from the hospital’s existing surveillance infrastructure. Our 
system will have various deep learning models that will be trained to notice particular types of 
anomalies. Alerts will be sent to hospital staff via a mobile app (which will act as a pager), and 
incident statistics will be reported to the hospital administration through a web portal.  
HospitalAid's features include: 
- Face Mask Detection 
- Empty Reception/Nursing Station Monitoring 
- Social Distancing Detection 
- Fainting Detection 
- Choking Detection 
- Drowsiness Detection 
 
 
 
 
 
Technology Used: 
Python, PyTorch, TensorFlow, Keras, ReactJS,  
React Native, Firebase, Flask, GitHub. 
Supervisor Name: 
Mr. S. Muhammad H. Mustafa 
Group Members:   
Hassan Shahzad (I18 - 0441) 
Sana Ali Khan (I18 - 0439)

AI enrichment

Hassan Shahzad contributed to HospitalAid, a real-time video analysis system using computer vision and deep learning to detect patient anomalies. The project involved developing models for tasks like face mask and fainting detection, integrated with a mobile app and web portal.

Skills (AI)

["Python", "PyTorch", "TensorFlow", "Keras", "ReactJS", "React Native", "Firebase", "Flask", "Computer Vision", "Deep Learning", "Machine Learning"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 234
Created: 1778150711