Vaneeza Khan
FAST
· 2022
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I18-0812
Email
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LinkedIn
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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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DOB
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Career
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Target role
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Skills
Machine Learning, AWS cloud services, Internet based machine learning model, Non-contact based level measurement
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.
Automated Fuel Monitoring System
The project is described as an automated fuel monitoring system. International politics have played
a significant influence on prices of fuel in every country. This causes an unpredictability in fuel
prices every 2 to 3 years in the global market. Illegal fuel theft has become a serious problem
everywhere. To overcome this, this project has been devised. It uses non-contact based level
measurement instruments to measure fuel level periodically. These measurements are fed into an internet based machine learning model. This model then determines whether fuel theft occurs or not. The end user is informed of this via website. He/she can ascertain whether fuel theft has occurred or whether it was a false alarm. This project uses AWS cloud services to perform these actions. The user should have a capable WiFi system at hand and grid connected power supply.
Technology Used:
Machine Learning
Supervisor Name:
Dr. Mukhtar Ullah
Group Members:
Vaneeza Khan(I18-0812)
Eisha tir Razia(I18-0797)
Syed Asad Tariq(I18-0833)
AI enrichment
Vaneeza Khan is a student who contributed to an automated fuel monitoring system project utilizing machine learning and AWS cloud services to detect fuel theft. The project involved non-contact level measurement and an internet-based model to alert users via a website.
Skills (AI)
["Machine Learning", "AWS Cloud Services", "Fuel Monitoring", "Web Development"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Engineering - 2022 Final Version (07-06-2022).pdfFrom job #22 page 58
Created: 1778122082