Shahnoor Haider
FAST
· 2022
·
I18 - 0460
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
C#, Unity, Visual Studio, Firebase
Verbatim text
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Baby Neuron Baby Neuron focuses on visually pleasing and engaging 3D environments to keep the children’s attentions captivated all the time while making them interact with certain stage objects, materials and the environment, solve puzzles and recall patterns from memory! Baby Neuron also comprises of a 2D version of the same 3D game to do a fair comparison between the learning outcomes of the both games. We have created four games for our FYP. The first two games were the Card matching in which children were supposed to remember the objects behind the cards in the pairs of two. This was developed in both 2D and 3D dimensions. The subsequent two games were a pathfinder game known as MemoryJog where the player is supposed to remember the pattern of highlighting blocks and repeat the pattern at multiple levels. The games include many modes such as Normal Mode, Timed Mode and Free Mode. Other than that the gamification elements include: - Scores - Avatar Skins - Levels -Player Lives - Multiplayer Highest Levels - Highest Level Technology Used: C#, Unity, Visual Studio, Firebase GitHub, Visual Studio Supervisor Name: Mr. Hassan Mustafa Group Members: Momin Salar (I18 - 0574) Shahnoor Haider (I18 - 0460) Umair Anwar (I18 - 0500)
AI enrichment
Shahnoor Haider is a BSCS graduate who contributed to a Final Year Project developing educational 3D and 2D games using Unity and C#. The project involved implementing gamification elements and memory-based puzzle mechanics for child engagement.
Skills (AI)
["Unity", "C#", "Firebase", "Game Development", "Visual Studio", "GitHub"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 221
Created: 1778149999