Muhammad Anser Qureshi · imagine-talent

Email

i190680@nu.edu.pk

Phone

—

GitHub

—

Academic

Program

BSCS

CGPA

—

Year

2023

Education

FAST NUCES, Islamabad Campus

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

React JS, Node JS, Express, MongoDB, Machine Learning, Food Scheduling Algorithms

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.

Group Members:
Syed Muhammad Ibtisam
(i190422@nu.edu.pk)
Talha Rizwan Malik
(i190652@nu.edu.pk)
Muhammad Anser Qureshi
(i190680@nu.edu.pk)

FASTPANDA
A Smart Food Ordering app that manages Kitchen Tasks using Food Scheduling Algorithms and provides highly accurate Order Preparation Time to Customers using Machine Learning Algorithms

Technology Used:
React JS, Node JS, Express, MongoDB
Supervisor Name:
Dr. Arshad Islam
Group Members:
Syed Muhammad Ibtisam (19i-0422)
Talha Rizwan (19i-0652)
Muhammad Anser Qureshi (19i-0680)

AI enrichment

Muhammad Anser Qureshi is a BSCS student who collaborated on FASTPANDA, a smart food ordering application utilizing machine learning for order preparation time estimation. The project employed a full-stack technology stack including React JS, Node JS, Express, and MongoDB.

Skills (AI)

["React JS", "Node JS", "Express", "MongoDB", "Machine Learning", "Food Scheduling Algorithms"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 324
Created: 1778112745