Zohaib Khalid
FAST
· 2022
·
i18 - 1565
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
2022
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
Node.js, Next.js, Express.js, MongoDB, Flask, Raspberry Pi, AWS, Electron.js, MERN stack, Object Detection
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.
Online Digital Advertisement Marketplace (ODAM) ODAM is a web-based application developed in MERN stack for remotely controlling and uploading ad campaigns on Digital Billboards using Raspberry PIs and electron JS application. Three different applications are developed – Portfolio Website, Client Application and Admin Application – to cater to the needs of our project. The Front-end applications are developed using Next.js framework. The client application will allow new users to view the geographically dispersed and different billboards that are available for booking. The billboards are tagged on Google Maps to ease the process of search. The selected billboard will show the time during a day when it is available for booking and what price will be charged for a selected period of time. The remote access and control of content on the digital billboard is implemented using Raspberry PI. The Raspberry PI will not only run Electron.js for display of content but also send a regular pulse to check the live status of the said billboard. The admin will approve an ad campaign before it can be run on the billboard. The installed IP camera on the billboard will take the live feed of the traffic and run an object detection module to detect different vehicles and humans. The resultant data will be saved and will be showed as an analytics to the target customer. The Super Admin will have control over all the CRUD operations relating to new admin, billboards, advertisements and hirers. The interoperability of different independent modules is managed by Node.js main server. We have used Amazon S3 bucket for uploading of Ad Videos and images. Technology Used: Node.js, Next.js, Express.js, MongoDB, Flask, Raspberry Pi, AWS, Electron.js Supervisor Name: Dr. Mohammad Adnan Tariq Group Members: Abdul Waheed (i18 - 0535) Muzammil Shakir (i18 - 0645) Zohaib Khalid (i18 - 1565)
AI enrichment
Zohaib Khalid is a BSCS graduate with experience in full-stack web development using the MERN stack and Next.js. He contributed to a digital advertisement marketplace project involving Raspberry Pi integration, AWS S3 storage, and real-time analytics via object detection.
Skills (AI)
["Node.js", "Next.js", "Express.js", "MongoDB", "Flask", "Electron.js", "AWS S3", "Raspberry Pi", "Web Development", "Full Stack"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 244
Created: 1778150711