I seek to make a meaningful contribution to solving the problems of the world wielding an arsenal of cutting-edge technologies whilst possessing the skills to put them to use.<\/p>\n
arsalanhussain547@gmail.com
\nhttps:\/\/www.linkedin.com\/in\/arsalan547\/<\/p>\n
+92 304 206 9272<\/p>\n
Dhanani School of Science and Engineering
\nBS Computer Science
\nElectrical & Computer Engineering
\n2025
\nAzure\/AWS cloud Infrastructure, Deep Learning, GPU accelerated computing, Web\/App development
\nHUTOPS Scholarship
\nHUCON’24 Core Team Member\/ Sponsorships Lead HUCON’23 Sponsorships Team Member
\nJunior Software Developer, Nasfia Junior Mobile App Developer, Devxtech (July\u00a0 November 2023)
\nResearch paper on Urdu Grammar error correction using Deep Learning
\nIntenseye
\nPakistan’s industrial sector, employing millions in manufacturing and construction, had 1.9 million workers report injuries in 2020-2021 alone. This project aims to improve workplace safety by developing a real-time monitoring system utilizing computer vision and deep learning for Dawlance’s sheet metal plant in Karachi. The system will analyze video footage from factory CCTV cameras to detect unsafe behaviors, such as failure to wear protective gear or operating machinery unsafely in real-time. By providing real-time alerts, this system will help prevent accidents, ensuring both employee safety and operational compliance for Dawlance. With a scalable design, the system can be adapted to various industrial settings, making it a valuable tool for reducing workplace injuries and promoting a safer working environment<\/p>\n","protected":false},"excerpt":{"rendered":"
I seek to make a meaningful contribution to solving the problems of the world wielding an arsenal of cutting-edge technologies whilst possessing the skills to put them to use. arsalanhussain547@gmail.com https:\/\/www.linkedin.com\/in\/arsalan547\/ +92 304 206 9272 Dhanani School of Science and Engineering BS Computer Science Electrical & Computer Engineering 2025 Azure\/AWS cloud Infrastructure, Deep Learning, GPU […]<\/p>\n","protected":false},"author":9,"featured_media":6367,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"single-graduate-01.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"program":[29],"school":[42],"class":[41],"minor":[],"class_list":["post-6246","graduate","type-graduate","status-publish","format-standard","has-post-thumbnail","hentry","program-bscs","school-dhanani-school-of-science-and-engineering","class-class-of-2025"],"acf":{"aspiration_statement":"I seek to make a meaningful contribution to solving the problems of the world wielding an arsenal of cutting-edge technologies whilst possessing the skills to put them to use.","video_profile_link":"","habib_email":"","email":"arsalanhussain547@gmail.com","linkedin_link":"https:\/\/www.linkedin.com\/in\/arsalan547\/","portfolio_Title":"","portfolio_link":"","personal_cell_1":"+92 304 206 9272","personal_cell_2":"","core_skills":[{"skill":"Azure\/AWS cloud Infrastructure, Deep Learning, GPU accelerated computing, Web\/App development"}],"academic_awards":[{"academic_record":"HUTOPS Scholarship"}],"leadership-experiences":[{"leadership":"HUCON'24 Core Team Member\/ Sponsorships Lead HUCON'23 Sponsorships Team Member"}],"work-experience":[{"experience":"Junior Software Developer, Nasfia Junior Mobile App Developer, Devxtech (July November 2023)"}],"publications-projects":[{"publications_title":"","publications":"Research paper on Urdu Grammar error correction using Deep Learning"}],"project_title":"Intenseye","fyp_desc":"Pakistan's industrial sector, employing millions in manufacturing and construction, had 1.9 million workers report injuries in 2020-2021 alone. This project aims to improve workplace safety by developing a real-time monitoring system utilizing computer vision and deep learning for Dawlance's sheet metal plant in Karachi. The system will analyze video footage from factory CCTV cameras to detect unsafe behaviors, such as failure to wear protective gear or operating machinery unsafely in real-time. By providing real-time alerts, this system will help prevent accidents, ensuring both employee safety and operational compliance for Dawlance. With a scalable design, the system can be adapted to various industrial settings, making it a valuable tool for reducing workplace injuries and promoting a safer working environment","project_pictures":null,"project-video":""},"yoast_head":"\n