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Anna Ahmed

FAST · 2019 · i19-0477
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2019
Education
SEECS
Address
DOB

Career

Current role
Target role
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

Anna Ahmed is a BSCS student who collaborated on a group project developing an e-commerce web application for smartphones. The project utilized aspect-based sentiment analysis of YouTube reviews, integrating NLP modules and audio-to-text conversion features.
Skills (AI)
["ReactJS", "NodeJS", "MongoDB", "Python", "Flask", "PyTorch", "NLP", "Sentiment Analysis", "Web Development"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 322
Created: 1778170170