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Namrah Rasool

FAST · 2021 · i17 - 0018
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2021
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, Flask framework, Socket Programming, Google Colab, Github

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.
Pilot Buddy 
PilotBuddy is a fault-injection and detection framework for real-time anomaly detection in the 
course of a UAV flight. The framework is a web-app linked externally with FlightGear Simulator, 
through socket programming, for better visualization. The framework allows users to connect to 
the simulator and inject aileron, rudder, elevator or engine faults into the flight simulation and 
study its effects on the UAV’s flight. Furthermore, PilotBuddy comes integrated with a model 
trained on the changes in the different parameters of a UAV, before and after fault injection. This 
helps our framework recognize faulty behavior and generate an alert when any anomaly is detected 
in 
a 
real-time 
flight, so 
recovery 
actions 
may 
be 
taken. 
Features include: 
- Real-time connection with FlightGear simulator to directly visualise the effects  
- A Fault Injection Framework to enable users to inject faults in-real-time and study their effects 
- Visualization of parameter changes during the course of a flight in graphical form, for better 
understanding 
- Detection of actuator and engine failures 
- Display fault diagnosis information against injected failures 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Python, Flask framework,  
Socket Programming, Google Colab, Github 
Supervisor Name: 
Dr. Irum Inayat 
Mr. Shoaib Ashraf (external) 
Group Members:   
Ayesha Ateeq (i17 - 0010) 
Namrah Rasool (i17 - 0018) 
Rafsha Mazhar (i17 - 0028)

AI enrichment

Namrah Rasool is a BSCS graduate who contributed to PilotBuddy, a web-based fault-injection and anomaly detection framework for UAV simulations. The project utilized Python, Flask, and socket programming to integrate with the FlightGear simulator for real-time visualization and fault diagnosis.
Skills (AI)
["Python", "Flask", "Socket Programming", "Web Development", "Anomaly Detection", "Git", "Google Colab"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 223
Created: 1778170889