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Areesha Tahir

FAST · 2022 · I18-1655
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2022
Education
Address
DOB

Career

Current role
Target role
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

Areesha Tahir is a student who contributed to an automated shopping cart project integrating IoT and AI for cashier-less checkout. The project utilized RFID and deep learning image recognition, supported by a web application interface.
Skills (AI)
["Python", "Flask", "ReactJS", "MySQL", "Yolov5", "Roboflow", "Raspberry Pi", "Git", "IoT", "Deep Learning"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 230
Created: 1778150711