Tanishk Sharma (@TheAp0cryphal)
github

TheAp0cryphal

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Top repositories

1

CustomLSLinux

C
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2

SFU-Hackathon-Game-Over-

Java
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3

LinuxInternalPIDtraversal

C
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4

ML---Clustering-Unknown-Facial-Data-Action-Units-

Jupyter Notebook
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5

DataScienceProjects

Jupyter Notebook
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6

Assembly-Matrix-Multiplication-

Assembly
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7

AugmentedRealityFilter---Imposing-Augmentation-on-Book-Cover

We take a video with constantly changing perspectives, learning where the edge's for the book are and what are it's dimensions to successfully impose a live video over it.
MATLAB
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8

CryptoPricePredictor

We perform sentiment analysis on reddit comments about crypto. We merge it with fear and greed index to determine the upcoming crypto price and how close the currencies are intertwined. We were able to do this for the previous year.
Python
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9

Music-Artist-Label-Relational-Databasing-MSSQL

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10

ML-FER2013-Dataset-Emotional-Inference

We train an AI on the Fer2013 database for emotional inference. We then try to predict phoebe's emotions using snapshots from the show F.R.I.E.N.D.S
Jupyter Notebook
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11

MineSeeker

This is a game where instead of avoiding mines (like minesweeper) we are getting them. Scanning a block and getting a mine will get you closer towards winning in the least number of scans.
Java
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12

SSHSocketChat-Terminal

C
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13

1Food

We have created an application that implements a pager system using android to replace expensive pager systems used in Restaurants for order times. Our app is QR based and extremely simple to use.
Kotlin
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14

BankingSystem

Banking System in C++ (Data Handling)
C++
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15

Lens-Manager

Java
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16

Fortress-Defense-Game

Java
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17

TheAp0cryphal.github.io

HTML
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18

CNN-MNIST-dataset-

MATLAB
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19

RestaurantInspector

Java
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20

eMosh-Emotional-Multimodality-Optical-Auditory-Synergy-Hub

In human computer interaction, we use facial features and audio arousal to determine the user's current emotional state. We then map it to an appropriate emoji :D
Jupyter Notebook
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21

DeepDreamify-CMPT310

We try to classify dogs after digitally augmenting them to look a little different.
Jupyter Notebook
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22

CNN-Airplane-Detection-in-Google-Maps-CIFAR

Training on the CIFAR dataset, we are able to recognize airplane's in google images irrespective of the angle or size they are. You should look inside the folder for more information.
Jupyter Notebook
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23

EdgeDetection---Depth-Analysis---Creating-3D-Model-of-a-2D-source

I perform some tricks to get the ability to transform an airplane from a 2D image to a 3D representation. (Understanding the "depth" of the 2D image. Pun intended)
MATLAB
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