Muhammad Bilal Saleem
FAST
· 2023
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19I-0526
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2023
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
Java, Python, React, Firebase, Flutter
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
HereIAM – A loud call from lost/stolen mobile device The HereIAM application offers a comprehensive solution to users facing the challenges of lost or stolen mobile devices, providing essential features to locate, secure, and manage their devices and data. Designed with an intuitive interface, the app caters to both device owners and system administrators through distinct User View and Admin View options. User View empowers device owners with an array of capabilities to quickly address the situation and take necessary actions, including: • Real-time tracking and pinpointing of lost or stolen devices • Remote ringing functionality to easily find misplaced devices in proximity. • Advanced remote locking and unlocking features for immediate security measures. • Streamlined data retrieval options to access and safeguard critical personal information. • User behavioral activity profiling to detect and respond to potential threats or suspicious activities. The HereIAM application is a powerful ally in the face of lost or stolen mobile devices, giving users confidence and peace of mind with its versatile features and unwavering commitment to data security and device management. HereIAM A loud call from lost/stolen mobile device Overview Our Project is a web-based system that works with a mobile application to facilitate users to track their lost/stolen mobile devices. It functions using WiFi and cellular connections for remote locking, retrieving, and seizing data. Furthermore, the user can disable their phone from being factory reset and powered off. Workflow Users Logs on to Web Server Establishes Connection WiFi GSM Server Connects to Phone System alerts user in case of unknown user behaviour Profile Gets Uploaded on Server Automatically Protects Data and Tracks the Last Known Location of Mobile Device User Performs Desired Actions on Phone Remotely Technologies Timeline Sept - Oct • Server Communication with Mobile Application • Login Authentication Nov - Dec • Real Time Phone Tracking • Smart Locking Mechanism Jan - Feb • WiFi and Cellular Connections Accessibility • Data Retrieval System Mar - Apr • User Behavioral Profiling • Testing • Deployment Supervisor: Dr. Muhammad Aleem Muhammad Bilal Saleem (19I-0526) Maaz Munir (19I-2168) Hammad Khalid (19I-2177) Technology Used: Java, Python, React, Firebase, Flutter Supervisor Name: Dr. Muhammad Aleem Group Members: Asim Azhar (i19 - 0526) Hammad Khalid (i19 - 2177)
AI enrichment
Muhammad Bilal Saleem is a BSCS graduate who contributed to a capstone project developing a cross-platform mobile and web application for tracking and securing lost or stolen devices. The project involved implementing real-time location tracking, remote locking mechanisms, and user behavioral profiling using a stack including Flutter, React, and Firebase.
Skills (AI)
["Java", "Python", "React", "Firebase", "Flutter", "Mobile Application Development", "Web Development", "Real-time Tracking", "Remote Device Management", "Authentication"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 280
Created: 1778170170