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Shoiab Asghar

FAST · 2023 · i19-0406

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

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

Android development in Java, Android studio, Firebase, Deep learning models, Machine Learning Algorithms, Google Maps API, Image Processing, Preprocessing, Feature Selection

Interests / quote

My bs cs final year project is smart road android application. It uses deep learning models to recommend the traffic signs on roads. First the user takes photo of roads from android app camera, the recommendation that which traffic sign board whether left, right or u-turn should be present on road is determined by the deep learning model. The output will be the recommendation of traffic sign board (left, right or u turn) on the google maps integrated within the SmartRoad android application if no sign board present, otherwise it is marked as sign board present there. The input images and recommendation results will be saved in firebase. There is also a logs tabs where user can view their previous recommended results.

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.

SmartRoad
My bs cs final year project is smart road android application. It uses deep learning models to recommend the traffic signs on roads. First the user takes photo of roads from android app camera, the recommendation that which traffic sign board whether left, right or u-turn should be present on road is determined by the deep learning model. The output will be the recommendation of traffic sign board (left, right or u turn) on the google maps integrated within the SmartRoad android application if no sign board present, otherwise it is marked as sign board present there. The input images and recommendation results will be saved in firebase. There is also a logs tabs where user can view their previous recommended results.

SMART ROAD
Intelligent Road Traffic Sign Placement System
SUPERVISED BY: Mr. Shehreyar Rashid
CO-SUPERVISED BY: Dr. Muhammad Asif Naeem
TEAM MEMBERS: Shoiab Asghar i19-0406, Muhammad Usman i19-0455, Umar Mansoor i19-0594
Aim to build an android application that will help the traffic authorities in placing the traffic sign boards.
WORK FLOW: Images -> Dataset -> Preprocessing -> Features & Selection -> Machine Learning Algorithms -> Deployment On Android App -> Integration Of Google Maps Api -> Model Trained
TIMELINE: Iteration-I, Iteration-II, Iteration-III, Iteration-IV
TOOLS & TECHNOLOGIES: Java, Android Studio, Firebase, XML
Technology Used: Android development in Java, Android studio, Firebase
Supervisor Name: Mr. Shehreyar Rashid
Group Members: Shoiab Asghar (i19-0406), Muhammad Usman (i19-0455), Umar Mansoor (i19-0594)

AI enrichment

Shoiab Asghar is a recent BSCS graduate who developed a final year project, SmartRoad, an Android application utilizing deep learning to recommend traffic sign placements. The project involved building a Java-based app with Firebase integration and Google Maps API to analyze road images and store user data.

Skills (AI)

["Java", "Android Development", "Android Studio", "Firebase", "XML", "Deep Learning", "Google Maps API", "Machine Learning"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 346
Created: 1778140212