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Saqib Zeb

FAST · 2022 · I18 - 0656

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2022

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

React Native, Firebase, Flask, Tensorflow, Python, Javascript

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.

TravelBuddy 
 
A cross-platform travel application which connects tourists with travel guides from all parts of 
Pakistan through an Uber-like guide booking platform. It also provides a social platform on which 
tourists with common travel preferences can connect with each other and plan their adventure 
together. A user can register as both a tourist or a travel guide. The social platform is moderated 
through a RNN-based deep learning model which is used to detect hateful/abusive language.  
Features include: 
- A guide booking platform where tourists can book travel guides from anywhere in Pakistan on 
hourly charges.  
- A social platform for tourists with posts, comments and chat group options.   
- Emergency services option for tourists to guide them to their nearest hospitals, petrol stations, 
police stations or bus stations from their current location on a single click.  
- Automatic post/chat moderation through a DL-based classification model for detecting 
hateful/abusive language. 
 
 
 
 
 
 
 
 
 
Technology Used: 
React Native, Firebase, Flask,  
Tensorflow, Python, Javascript 
Supervisor Name: 
Mr. Umair Arshad  
Group Members:   
M. Nabeel Noor Khan (I18 - 0469) 
M. Zulkifal Khan (I18 - 0495) 
Saqib Zeb (I18 - 0656)

AI enrichment

Saqib Zeb is a BSCS graduate who contributed to a cross-platform travel application featuring guide booking, social networking, and emergency services. The project utilized React Native and Firebase for the frontend and backend, while incorporating a TensorFlow-based deep learning model for content moderation.

Skills (AI)

["React Native", "Firebase", "Flask", "TensorFlow", "Python", "JavaScript", "Deep Learning", "NLP", "Mobile App Development"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 265
Created: 1778150712