Corp
Description
Corporation of intellectual innovation and content.
Bruh Corp. is an entity of tal{1} intensities of enigmatic virtuosi. Amalgamated of malleable proficiency and ambitions, indefinite of a purpose yet avant-garde minds and visions wide like the oceans; plagued with pedantic perfectionism, driven by the will to create, freedom to creativity and the right to our forte.
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Battalion
Description
Synaptic Battalion (SB.) is an attribute of Bruh Corp. dedicated to editorial and journalistic content.
I aim to create a platform of trustable young writers, passionate about relaying information in the most accurate and factual way possible rather than promoting an idea.
Modern day journalism is in crisis. With the rapid proliferation of technology, access to anything at just your fingertips, media outlets are now craving clicks over quality. Each media outlet being avaricious and lopsided partisans; biases plaguing the informative cyberspace space paving extreme ideas of any and all things. Egregious and rapacious journalists resorting to misinformation, incitement and propaganda mainly for the sake of attention and monetary benefit.
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Description
Sports and Recreational Health, a platform dedicated to well-being.
Sports & Recreational Health is a platform created by a triumvirate; Abban Fahim, Moosa Syed and Talha Ijaz, with ambitious goals advocating for importance of well-being and offering valuable knowledge to empower individuals on their wellness journey.
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Sauron
Description
Multimodal reconnaissance Unmanned Ground Vehicle (UGV).
Eye Of Sauron is a multidisciplinary project involving elements of robotics, remote sensing, sensor integration, and rapid prototyping. The project is an Unmanned Ground Vehicle (UGV) making use of Multimodal Sensor Fusion (Infrared, TV, Ultrasonic, Radar) for reconnaissance purposes.
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Description
This is a winning team projected presented at the Emirates Aviation University at the 2nd EAU A.I. & Data Science Competition 2024.
We coded a Convolutional Neural Network, a Deep Learning Model that was trained on a public domain dataset of lung tissues to classify cancerous or non cancerous tissues. Initial results reached 90% validation, post-competition however the model has been further tuned to be over 98% valid.
