Muhammad Shoaib Azhar · 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

2019

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

ReactJS, NodeJS, MongoDB, Python, Flask, PyTorch

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: Anna Ahmed i19-0477 Maria Hassan i19-0478 Muhammad Shoaib Azhar i19-0489 Supervisor: Dr. Behjat Zuhaira Co-Supervisor: Mr. Saad Salman PHONATICS An E-Commerce web application for smartphones that provides aspect-based sentiment analysis of smartphone reviews from YouTube videos ARCHITURE Front-end Database Clustering tool Buyer Seller Buying and selling platform Aspect based Smartphone reviews 1-10 rating of features Suggestion system Audio to text conversion Aspect based sentiment analysis Integration of NLP modules Report generation Suggestion system Final integration and testing TIMELINE Sept-Oct Nov-Dec Jan-Feb Mar-April Front-end Database design Back-end API integration Model fine-tuning Technology Used: ReactJS, NodeJS, MongoDB, Python, Flask, Py Torch Supervisor Name: Dr. Behjat Zuhaira Group Members: Muhammad Shoaib Azhar (i19 - 0489) Anna Ahmed (i19 - 0477) Maria Hassan (i19 - 0478)

AI enrichment

Muhammad Shoaib Azhar is a BSCS student who contributed to a group project developing an e-commerce web application for smartphones. The project utilized ReactJS, NodeJS, and Python to implement aspect-based sentiment analysis of smartphone reviews from YouTube videos.

Skills (AI)

["ReactJS", "NodeJS", "MongoDB", "Python", "Flask", "PyTorch", "NLP", "Sentiment Analysis", "Web Development", "API Integration"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 322
Created: 1778169248