Current / graduating year
Bachelor of Science in Computer Science and Engineering
BRAC University
Computer Science & Engineering Student
Hey there, I’m
Syeda Lamima Islam
I am a graduating-year Computer Science and Engineering student from BRAC University, exploring Quantum Computing, Deep Learning, and Computer Vision.
About
Building intelligent systems for real-world problems.
I am a graduating-year Computer Science and Engineering student from BRAC University with interests in Computer Vision, Machine Vision, Quantum Computing, Machine Learning, Artificial Intelligence, Data Science, and Healthcare Analytics.
My academic and hands-on experience includes developing software systems, testing machine learning models, implementing computer vision techniques, and exploring the application of data-driven methods to solving real-world challenges.
Education
Academic background
2019 – 2021
Higher Secondary School Certificate
National Ideal College
2009 – 2019
Secondary School Certificate
Faizur Rahman Ideal Institute
Skills
Technical strengths
Programming
Python
C Programming
JavaScript
HTML
CSS
Development & Web
Flask
Django
MERN
Git
GitHub
Vercel
AI & Data Science
Machine Learning
Deep Learning
Computer Vision
Image Processing
Neural Networks
Quantum Computing
Research & Tools
PyTorch
TensorFlow
YOLO
RF-DETR
Random Forest
Overleaf
EMU8086
Design & Analysis
Figma
VS Code
Kaggle
Matplotlib
Proteus
Languages
English
Bangla
Projects
Projects
Healthcare Robotics
Medicine Dispensing Robot for the Elderly
Developed a home healthcare robot with RFID, fingerprint, and LFR-based user identification, autonomous navigation, medication dispensing, remote video control, and basic speech interaction.
Robotics
RFID
Embedded Systems
Healthcare
IoT
Micro Climate Analyzer
Built an Arduino-based environmental monitor using DHT22, MQ135, and LDR sensors to detect indoor environmental changes in real time.
Arduino
IoT
Sensor Systems
Monitoring
Healthcare Analytics
PCOS Risk Predictor
A project designed to detect at-risk PCOS patients to support better healthcare service and prioritization for assessment.
Machine Learning
Healthcare
Data Science
Prediction
Codebase
Systems
Finance Manager in Assembly Language
Developed an Assembly-based finance manager with income and expense tracking, transaction history, budget alerts, net income calculation, and financial report generation.
Assembly
Systems
Budgeting
Analysis
Codebase
Web Platform
BRACU EventVerse
Created a centralized event management platform for BRAC University to streamline event discovery, registration, booking, budget management, and participation tracking for students, clubs, and administrators.
Web Development
Platform Design
Event Management
Full Stack
Research
Research work
Publication
Attention-Gated DenseNet with Class-Weighted Focal Loss for Multi-Class Cervical Cancer Cell Classification on Pap-Smear Images
Accepted with minor revision — Scientific Reports (Nature, Q1).
Thesis
Implementation of Deep Learning Algorithms In Machine Vision On An Autonomous Surface Water Rover For Water Waste Detection
CVIS Research Lab, BRAC University.
Research Experience
CVIS Research Lab, BRAC University
Undergraduate Researcher
Conducted an in-depth analysis of structured image datasets collected from various regions of Bangladesh and achieved an 84.8% AUC in floating water-waste detection using deep learning and machine learning approaches.
GenEd Research
Weaving the Future: Reconciling Cultural Authenticity and Economic Sustainability in Jamdani Production in Bangladesh
Undergraduate GenEd Field Research Paper.
Contact