← Back to cohort

Naseer-ud-Din

FAST · 2022 · I18 - 0407
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2022
Education
Address
DOB

Career

Current role
Target role
Skills
Android Studio, Java, Python, React JS, Material UI, Firebase, RASA, Data Mining, Machine Learning, 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.
Travel Planning Mobile App and Data Visualization Web Tool 
 
 PlanitPK is a mobile and web-based application that functions as an intelligent tourist 
 guidance system. It does this using data mining and machine learning techniques to streamline and 
 simplify the process of travel planning, help users create an itinerary that connects multiple points-
of-interest, give personalized and customized suggestions, as well as provide data analytics and 
 data visualization for administrators. 
 Features include: 
 ● Search and explore destinations from across Pakistan 
 ● Create and view photo albums for your planned trips 
 ● Comprehensive trip planning i.e., selecting multiple destinations, finding hotels and other 
 accommodations, analyzing potential costs and budgeting, as well as activities to do when in 
 the selected destinations 
 ● Live weather information 
 ● Google Maps for navigation 
 ● Administrator dashboard which allows third parties to advertise travel packages and hotels 
 ● Data visualization showcasing graphical representation of trends based on Android app usage 
 ● Recommender system to predict destinations based on user preferences and/or usage history 
 Text-based Travel Assistant that provides info on locations, hotels, and activities within the app 
 
 
 
 
 
 
 
 
 
 
 
 Technology Used: 
 Android Studio, Java, Python, React  
 JS, Material UI, Firebase, RASA 
 Supervisor Name: 
 Mr. Bilal Khalid Dar 
 Group Members:   
 Rafae Raza (I17 - 0224) 
 Usman Ahmed (I17 - 0151) 
 Naseer-ud-Din (I18 - 0407)

AI enrichment

Naseer-ud-Din is a student who collaborated on a group project developing a travel planning mobile app and data visualization web tool. The project utilized Android Studio, Java, Python, and React to implement features like itinerary planning, recommender systems, and admin dashboards.
Skills (AI)
["Android Studio", "Java", "Python", "React", "JavaScript", "Material UI", "Firebase", "RASA", "Data Visualization", "Machine Learning", "Recommender Systems"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 264
Created: 1778150712