Muhamad Ibrahim Malik
FAST
· 2020
·
i16 - 0187
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2020
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Ethereum, Solidity, Web3, Tensorflow, Pydrive, OpenCV, Android, Raspberry pi, ReactJS
Verbatim text
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Decentralized Governance of Smart Transportation Using Blockchain Deteriorated roads induce vehicle damage, traffic congestion, and driver discomfort which influences traffic management of smart cities. Specifically, they slowdown the traffic and create choke points. About one third of the accidents are caused by deteriorated roads and car crashes. Therefore, such things need to monitored and resolved for a smooth flow of traffic. A smart city's basic principle is to use all available resources efficiently, but to report any damages on the road, a manual process is used which requires a survey team analysing the city manually for damaged roads and signs. This gets expensive and labour intensive as a human is reporting all damages. This process can be effective to some extent; however, its drawbacks prevent it from being the best solution. Traffic needs to move at all times, so a system that can allow such problems to be fixed quickly is required. An automated system that can detect and report damages quickly would tremendously help in minimizing the deterioration. Hence, an autonomous and intelligent system of detecting the damage is a desirable and required feature of a smart city infrastructure. By using the latest technologies like Blockchain as it is a decentralized, distributed and public digital ledger that is used to record transactions across many smart cities, and machine learning and image processing techniques to detect road damages to make our system state of the art. Features include: Identify damaged roads. Update the location of each point on dedicated dashboard. Maintain a decentralized chain of all points. Analyse incoming reports/queries from social media and mobile application. Verify the authenticity of any report/query. Technology Used: Ethereum, Solidity, Web3, Tensorflow, Pydrive, OpenCV, Android, Raspberry pi, ReactJS Supervisor Name: Dr. Muhammad Asim Group Members: Muhammad Shahid Hussain (i16 - 0126) Muhamad Ibrahim Malik (i16 - 0187) Abdul Haseeb (i16 - 0296)
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 192
Created: 1778226103