Naseer-ud-Din
FAST
· 2022
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I18 - 0407
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Year
2022
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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)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 264
Created: 1778223768