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Bushra Rehman

NUST · 2026
Email
bushra.rehman0331@gmail.com
Phone
923317642438
LinkedIn
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GitHub
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Academic

Program
Electrical Engineering
CGPA
2.85
Year
2026
Education
SEECS
Address
31/1 DAR-UL-FAZAL (WEST), CHENAB NAGAR , Chenab nagar , Pakistan
DOB
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Career

Current role
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Target role
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Skills
Machine Learning, TSL optical sensor, ESP32 microcontroller, Mobile Application Development, Real-time Data Processing, Wireless Transmission
Interests / quote
Please update objective section.

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. 
Bushra Rehman
Cell: 923317642438 |  Email: bushra.rehman0331@gmail.com
Address: 31/1 DAR-UL-FAZAL (WEST), CHENAB NAGAR , Chenab nagar , Pakistan
PROFESSIONAL PROFILE
Please update objective section.
EDUCATION
Electrical Engineering
SEECS , Islamabad , 2.85 (2026)
INTERNSHIP EXPERIENCE
AIMS Lab, Sines, Nust
24-Jun-2024 - 24-Aug-2024
Weather Monitoring of local areas through ML
FINAL YEAR PROJECT
Non invasive glucose monitoring device
This project presents the design and development of a compact, finger-mounted non-invasive glucose monitoring device. The system
uses a TSL optical sensor to acquire physiological data, which is processed using a trained machine learning model to estimate
glucose levels. An ESP32 microcontroller is used for real-time data processing and wireless transmission to a mobile application.
The application provides continuous monitoring and sends alert notifications to the patient’s guardian when glucose levels exceed
predefined thresholds. The proposed system aims to offer a portable, painless, and user-friendly solution for glucose monitoring.
TECHNICAL EXPERTISE

AI enrichment

Bushra Rehman is an Electrical Engineering student graduating in 2026 with a CGPA of 2.85. She has completed an internship focused on machine learning for weather monitoring and developed a final year project involving a non-invasive glucose monitoring device using ESP32 and optical sensors.
Skills (AI)
["Electrical Engineering", "Machine Learning", "Embedded Systems", "ESP32", "IoT", "Sensor Integration", "Mobile Application Development"]
Status: ai_done
Provenance
Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 126
Created: 1778168427