Salman Qureshi
FAST
· 2021
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i17 - 0282
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
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CGPA
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Year
2021
Education
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Address
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DOB
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Career
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Target role
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Skills
Android Studio, Java, Firebase, Python, Adobe XD, GPS technology
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.
E-Utility Service Application
EUSA is a platform, in which we aim to provide fast and responsive solutions for customers where
they can search for a number of services; Electrician, Plumber, AC Repair, Mechanics, Carpenters.
Location of these service providers will be available through map, customers will be able to contact,
book and visit(location) the aforementioned service providers at the tap of a button. Users will
be able to login as either a customer or a service provider and consequently have their own menu to
use the application. The application will provide convenience to both service providers and
customers. The service provider’s exposure will increase and now not only walk in customers will be
catered but also online customers will help him earn more. On the customer’s end, he now doesn’t
need to find the required service providers to help him solve his problems. Lots of time will be
saved. He just needs to open the app, see the map and hire the nearest service provider.
Features include:
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User Search
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Book, contact, locate service providers
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Promote and rate service providers
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User management
Technology Used:
Android Studio, Java,
Firebase, Python, Adobe XD, GPS technology
Supervisor Name:
Mr.Bilal Khalid Dar
Group Members:
Akash Ali (i17 - 0019)
Shehroz Mughal (i17 - 0187)
Salman Qureshi (i17 - 0282)
AI enrichment
Salman Qureshi is a student who contributed to the development of EUSA, an Android-based utility service application using Java and Firebase. The project involved implementing features such as user search, booking, and GPS-based location services for service providers and customers.
Skills (AI)
["Java", "Android Studio", "Firebase", "Python", "Adobe XD", "GPS Technology", "Mobile App Development"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 207
Created: 1778170889