Eisha tir Razia · imagine-talent

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Academic

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CGPA

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Year

2022

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Career

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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)

Provenance

Source file: Graduate Directory FAST School of Engineering - 2022 Final Version (07-06-2022).pdf
From job #22 page 58
Created: 1778226077