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Muhammad Shahid Hussain

FAST · 2020 · i16 - 0126
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2020
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Ethereum, Solidity, Web3, Tensorflow, Pydrive, OpenCV, Android, Raspberry pi, ReactJS

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.
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)

AI enrichment

Muhammad Shahid Hussain is a BSCS graduate who developed a decentralized smart transportation system using blockchain and machine learning to detect road damages. The project utilized Ethereum, Solidity, and TensorFlow to create an autonomous reporting and verification mechanism for smart city infrastructure.
Skills (AI)
["Blockchain", "Ethereum", "Solidity", "Web3", "TensorFlow", "OpenCV", "ReactJS", "Android", "Raspberry Pi", "Machine Learning", "Image Processing"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 192
Created: 1778170703