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Muhammad Taha Attique

FAST · 2022 · i16 - 0213

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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

C#, Unity, Firebase, Rider, Mapbox, ARCore, ARFoundation

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.

Traces 

Traces is a Multiplayer, Augmented Reality and Geolocation based game where players travel to different locations and place a 3D Model on some GPS coordinates. Other players can come and find the Models or Traces. These traces will give players score based on the amount of time that their trace remains hidden. 
Players can also take on a challenging single player game which can also aid in kids learning. This game can place random traces around you and ask the player to find them in a given time. Kids can learn using this game by finding alphabets in the order or finding fruits based on their name. 
Features Include: 
• Placing Traces and Viewing them 
• Scoring algorithm 
• Single player games 
• Allowing parents to make single player games for their children’s learning 
• Geofencing to protect kids from going out of perimeter 
• Impact of our Idea: Learning based game for kids, motivating people to exercise and move. 







































Technology Used: 
C#, Unity, Firebase, Rider, Mapbox, 
 ARCore, ARFoundation 
Supervisor Name: 
Ms. Noor Ul Ain 
Group Members:   
Abdul Wahab (i16 - 0099) 
Muhammad Taha Attique (i16 - 0213) 
Farrukh Azeem (i16 - 0265)

AI enrichment

Muhammad Taha Attique is a BSCS student who contributed to the development of 'Traces,' a multiplayer augmented reality game utilizing geolocation and ARCore. The project involved implementing features such as 3D model placement, scoring algorithms, and educational single-player modes using Unity and Firebase.

Skills (AI)

["C#", "Unity", "Firebase", "Mapbox", "ARCore", "ARFoundation", "Rider", "Game Development", "Augmented Reality", "Geolocation"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 226
Created: 1778170703