Abeer Aqeel
FAST
· 2022
Email
abeeraqeel0326@gmail.com
Phone
+923359900595
GitHub
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Academic
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Year
2022
Education
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Abeer Aqeel +923359900595, abeeraqeel0326@gmail.com Bahria Town, Rawalpindi LinkedIn: https://www.linkedin.com/in/abeer-aqeel-184aa522b/ Education Bachelor of Science (Computer Science) Major: Database Management, Web Development, Deep Learning and Machine Learning. Punjab College, Ayub Park Campus. F.Sc (Pre-Engineering) St. Anne’s Presentation Convent High School, Rawalpindi. Matriculation (Physics, Chemistry, Biology) Projects Final Project: Machine Learning and Image Processing Lung Disease Detection Application [MILDDA] MILDDA is a web based application for patients, doctors and radiologists that provides early detection and classification into four basic lung diseases, namely COVID-19, pneumonia, tuberculosis, and lung cancer. It is an application designed using deep learning and image processing built to assist the doctors and radiologist in decision making and reducing a large amount of time spent on diagnosis of multiple x-ray images per day. Semester Projects: Library Management System: Use of OOP, SDA and SE concepts. Graphical Password Authenticator: Designed an information security project in python. FIT ME Application: Developed an application based on concepts of database management, usinf My SQL and PHP. Using CISCO Packet Tracer to Stimulate a Network: The network included EIGRP, OSPF, RIP and DHCP protocols. 4-bit Binary to Decimal Convertor: Implemented its circuit on breadboard (project of digital logic design). T-REX Game: Coded using assembly language. Skills & Tools Professional Skills: Team Work, Leadership. Technical Skills: Python, C++, Java, My SQL, PL/SQL, No SQL(MongoDB),React JS Framework,Node JS, HTML, CSS, UML, Nmap, Linux System, Assembly Language Achievements Awarded with Scholarship of no tuition fee at college level. Interests Playing Strategy and Puzzle Solving games , Badminton
AI enrichment
Abeer Aqeel is a Computer Science graduate with academic experience in full-stack web development, machine learning, and database management. The candidate has built projects involving deep learning applications and network simulation, demonstrating foundational technical proficiency.
Skills (AI)
["Python", "C++", "Java", "MySQL", "PL/SQL", "MongoDB", "React JS", "Node JS", "HTML", "CSS", "UML", "Nmap", "Linux", "Assembly Language", "Deep Learning", "Machine Learning", "Image Processing", "OOP", "SDA", "SE"]
Status: ai_done
Provenance
Source file: —Created: 1777723981