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Rana Zubair

FAST · 2020 · i14 - 0285

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2020

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Python, Firebase, Android Studio, GitHub, Natural Language Processing, Machine Learning, Predictive Analysis, Sentiment Analysis, Collaborative Filtering

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.

Rel-Event is an event recommendation and searching application which aims to has combine the latest influx of Natural Language processing and machine learning algorithms to open doors for predictive analysis on event searches and popularity of an event. In this of age of information, its problematic, time consuming, and frustrating to find information which is relevant to you and to your needs, especially in finding events that match your type around the city that you live in or visit. This project aims to scrap live data from event websites and categorize those events into 6 different types such as Sports, Music, Food etc. There will be 2 types of users: Customer Organizer As the Customer uses the application with time, it will learn the user’s choices by saving user activity in database. The engine will apply model-based recommendation and collaborative filtering to recommend events related to his/her personality choice. As the Organizer, a user can predict the popularity/success of his event by entering details of the event he plans to market through sentiment analysis. Technology Used: Python, Firebase, Android Studio, GitHub Supervisor Name: Dr. Mirza Omer Baig Group Members: Rana Zubair (i14 - 0285)

AI enrichment

Rana Zubair is a student who worked on a Rel-Event project combining NLP and machine learning for event recommendations and popularity prediction. The application utilized collaborative filtering and sentiment analysis to categorize events and personalize user experiences.

Skills (AI)

["Python", "Firebase", "Android Studio", "Machine Learning", "Natural Language Processing", "Collaborative Filtering", "Sentiment Analysis", "GitHub"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 215
Created: 1778170703