Qurat Ul Ain · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

Education

FAST CS

Address

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DOB

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Career

Current role

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Target role

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Skills

React, MongoDB, Node.js, NLTK, Hugging Transformers, Data Scraping, Data Preprocessing, Data Modelling, Feature Selection, HLP algorithms, Generic Review Generation, Accuracy Analysis, Aspect Based Review generation, Website Development, Data Visualization

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
Uswa Nasir 19I-0534
Qurat Ul Ain 19I-0685
Meshal Cheema 19I-1977
Supervisor
Ms. Noor Ul Ain
OutofTen
A product Reviewing Ecosystem to facilitate the customers during the product purchasing process by providing concrete feedback after evaluating online sources.
Flow Diagram
Technology Used:
React, MongoDB, Nodejs, NLTK, Hugging Transformers
Supervisor Name:
Ms. Noor Ul Ain
Group Members:
Uswa Nasir (i19 - 0534)
Qurat Ul Ain (i19 - 0685)
Meshal Cheema (i19 - 1977)
Timeline
September-October 2023
Data Scraping
Data Preprocessing
Data Modelling
November-December 2023
Feature Selection
Selection of HLP algorithms
Generic Review Generation
Accuracy Analysis
January-February 2023
Aspect Based Review generation
Accuracy Analysis
March-April 2023
Website Development
Data Visualization
Tools and Technologies
python mongoDB node NLTK

AI enrichment

Qurat Ul Ain is a BSCS student who collaborated on a group project to build a product reviewing ecosystem using React, Node.js, and MongoDB. The project involved data scraping, preprocessing, and aspect-based review generation using NLTK and Hugging Face Transformers.

Skills (AI)

["React", "Node.js", "MongoDB", "Python", "NLTK", "Hugging Face Transformers", "Data Scraping", "Data Preprocessing", "Data Visualization"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 325
Created: 1778112745