Aleezeh Usman
FAST
· 2022
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I18-0529
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Year
2022
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Skills
Python, Raspberry Pi, Flask, ReactJS, Github, MySQL, Yolov5, Roboflow, Visual Studio Code, IoT, AI, RFID, Image Recognition, Deep Learning
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.
GoCart
GoCart is an automated shopping cart with the aim to make shopping a hassle-free and simple
experience for both the consumer and the shop employees by utilizing a combination of IoT and AI.
It will allow cashier-less checkout using an integration of radio-frequency identification (RFID)
and image recognition using deep learning, with a very simple user interface so it is
understandable and easy to use for all kinds of users.
Features include:
Radio Frequency Identification
Image Recognition
Web Application
Technology Used:
Python, Raspberry Pi, Flask, ReactJS, Github,MySQL,
Yolov5,Roboflow, Visual Studio Code
Supervisor Name:
Dr. Adnan Tariq
Group Members:
Aleezeh Usman (I18-0529)
Moiz Muzahir (I18-0786)
Areesha Tahir (I18-1655)
AI enrichment
Aleezeh Usman is a student who contributed to an automated shopping cart project integrating IoT and AI for cashier-less checkout. The project utilized RFID, deep learning for image recognition, and a web application interface built with Python, Flask, and ReactJS.
Skills (AI)
["Python", "Flask", "ReactJS", "MySQL", "Yolov5", "Roboflow", "IoT", "Image Recognition", "RFID", "Git"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 230
Created: 1778150711