Sana Ali Khan

Academic

Career

Verbatim text

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)