M. Nabeel Noor Khan
FAST
· 2022
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I18 - 0469
Email
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Phone
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LinkedIn
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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
M. Nabeel Noor Khan 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, Firebase, and Flask, incorporating a TensorFlow-based RNN model for content moderation.
Skills (AI)
["React Native", "Firebase", "Flask", "TensorFlow", "Python", "JavaScript", "Deep Learning", "RNN", "Mobile App Development"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 265
Created: 1778149999