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Fateha Kamran

NUST · 2026 · 417070
Email
fkamran.bee22seecs@seecs.edu.pk
Phone
923255211392
LinkedIn
https://www.linkedin.com/in/fateha-kamran-a1b186339
GitHub

Academic

Program
CGPA
3.59
Year
2026
Education
Electrical Engineering SEECS , Islamabad , 3.59 (2026)
Address
HOUSE#279 STREET#55 BLOCK#C-1, B-17, MPCHS , Islamabad , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE I am an Electrical Engineering student currently in my eighth semester, with a strong foundation in programming, embedded systems, and electronics. I combine analytical thinking with creativity to develop solutions that are both practical and innovative, with a focus on automation, IoT, and computer vision. I am self-reliant, possess strong critical thinking and communication skills, and excel in time management and collaborative projects. Adaptable and driven, I am eager to gain hands-on experience to deepen my understanding of real-world engineering applications and emerging technologies. EDUCATION Electrical Engineering SEECS , Islamabad , 3.59 (2026) INTERNSHIP EXPERIENCE Pakistan Railway Carriage Factory 26-Aug-2024 - 07-Sep-2024 Gained exposure to power shop and TL shop. Observed quality control procedures and industrial safety practices within a large-scale manufacturing environment. Pakistan Red Crescent Society: 02-Aug-2024 - 16-Aug-2024 Contributed to community outreach programs focused on health awareness and promoting humanitarian values in local communities. DroNext Pvt.Ltd. Graduate Research Complex, SEECS NUST: 01-Jun-2025 - 11-Jul-2025 Implemented the computer vision module of a vision-guided drone using YOLO-based object detection for autonomous tracking. Heavy Industries Taxila: 14-Jul-2025 - 22-Aug-2025 Gained exposure to advanced defense manufacturing processes and engineering practices. FINAL YEAR PROJECT TAAK: Vision-Guided Laser Tracking System for Autonomous Drone Missions This project proposes the development of an innovative autonomous drone-based tracking system capable of precisely following user-designated objects from a predefined distance. The system integrates a sophisticated image processing pipeline for robust object detection and identification, coupled with a novel 2D laser tracking module. The inherent limitations of a 2D laser system for full 3D tracking are ingeniously overcome by leveraging the drone's yaw movement to compensate for the third axis, effectively creating a pseudo-3D tracking capability. The drone will employ advanced navigation algorithms to maintain a constant standoff distance from the target while continuously adjusting its position and orientation to keep the laser focused. Users will have the flexibility to assign the target object, allowing for diverse applications ranging from surveillance and monitoring to automated inspection and dynamic object pursuit. This system aims to offer a cost-effective, highly maneuverable, and versatile solution for autonomous object tracking, significantly enhancing capabilities in scenarios requiring precise and sustained aerial observation. Future work will focus on optimizing real-time processing, improving tracking robustness in challenging environments, and exploring potential applications in various industrial and security contexts

AI enrichment

I am an Electrical Engineering student currently in my eighth semester, with a strong foundation in programming, embedded systems, and electronics. I combine analytical thinking with creativity to develop solutions that are both practical and innovative, with a focus on automation, IoT, and computer vision. I am self-reliant, possess strong critical thinking and communication skills, and excel in time management and collaborative projects. Adaptable and driven, I am eager to gain hands-on experience to deepen my understanding of real-world engineering applications and emerging technologies.
Status: ai_done
Provenance
Source file:
Created: 1777448793