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Muhammad Bilal Saleem

FAST · 2023 · 19I-0526
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2023
Education
SEECS
Address
DOB

Career

Current role
Target role
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.pdf
From job #14 page 280
Created: 1778170170