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.o&H' `"MbHMMMMMMMMMMMHo. General: "3rd year undergraduate MSci computer science student"
.o"" ' vodM*$&&HMMMMMMMMMM?. Aspirations: ["Artificial Intelligence", "Data Science",
,' $M&ood,~'`(&##MMMMMMH\ "Machine Learning"
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& ?MMMMMMMMMMMMMMMMM7MMM$R*Hk Occupation: "Machine Learning Intern, Maths and English Tutor"
?$. :MMMMMMMMMMMMMMMMMMM/HMMM|`*L Location: "United Kingdom"
| |MMMMMMMMMMMMMMMMMMMMbMH' T, Interests: ["Computer vision", "Human pose estimation",
$H#: `*MMMMMMMMMMMMMMMMMMMMb#}' `? "Generative AI", "Image recognition",
]MMH# ""*""""*#MMMMMMMMMMMMM' - "Data analysis", "Evolutionary algorithms",
MMMMMb_ |MMMMMMMMMMMP' : "Arch Linux", "Simulations", "Fractals", "Mazes"
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?MMMMMMMMP 9MMMMMMMM} - Favourite Language: "Python"
-?MMMMMMM |MMMMMMMMM?,d- ' Current Status: "Interning with Kuppa!"
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`&. . LinkedIn: "linkedin.com/in/talhaahussain/"
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talhaahussain / grappling-pose-identification Goto Github PK
View Code? Open in Web Editor NEWThird year university dissertation. Continuous Assessment for ECM3401 - Individual Literature Review and Project. Involves the implementation of a human pose estimation computer vision model to detect two combat athletes, and a machine learning algorithm to identify their grappling position.
License: MIT License