Lamia Anjum

Hi, I'm Lamia Anjum.

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Embark on a captivating journey as a beginner in Software Dev, Machine Learning and AI, discovering how computers learn from data to make intelligent decisions, and uncovering the exciting potential these technologies hold for shaping the future.

About

I am Lamia Anjum .I have completed B.Sc. in Computer Science and Engineering from Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh. As a BSc graduate, I am an enthusiastic and dedicated individual with a passion for scientific inquiry and a strong desire to make a positive impact on the world through my knowledge and skills. Throughout my undergraduate journey, I have acquired a solid foundation in my chosen field of study, which has nurtured my curiosity and ignited a drive to pursue further academic and professional endeavors. I am seeking job opportunities to further explore and contribute to the field of Computer Science along with Machine Learning, Deep Learning and Artificial Intelligence.

Languages: Python, Java, C, C++, HTML/CSS, SQL
Databases: MySQL, Oracle Database
Libraries: NumPy, Pandas, Matplotlib, Seaborn, scikit-learn
Frameworks: Keras, TensorFlow, PyTorch, Bootstrap
Tools & Technologies: Git, Anaconda, Jupyter Notebook

I am committed to leveraging my skills and knowledge to advance the understanding of real life problems and trying to solve these problems with computer science.

Research

Video Based Vehicle Detection and Tracking using Image Processing and Deep Learning
Published in: 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

Workflow :
We have built our own customize dataset. Find our dataset here For annotation, we used LableMaster.
Data analysing with differesnt deep learning algorithm:
This result can be used in different aspects like live traffic monitoring, accident detection, environment monitoring for self diriving car and many more
Here is the ultimate result showed in a video after traing dataset
Tools: Python, VGG Image Annotator, MakeSense.AI, labelImg, Jupyter Notebook, Google Colab

Read The Paper

Local Vehicle Detection using Hog & SVM

The goal of the project was to write software pipeline to identify vehicles along with local vehicles(CNG, Rickshaw, Bus & Leguna) in perspective of Bangladesh, in a video from a front-facing camera.
We make a dataset where approximately 25,000 pictures of vehicles and non vehicles .
We use Histogram of oriented Gradient(HOG) for feature extraction of the image and trainig those dataset .
This is the final result of vehicle detection using Support Vector Machine (SVM).
Tools: Python, VGG Image Annotator, Google Colab, Jupyter Notebook

Read The Paper

Projects

                
Cooker
                  An andriod app where it suggests recipes based on user's choice of ingredients.
                
AccomplishmentsIDE:Andriod Studio 
Database:Firebase
Language:Java
It suggests recipes based on user's choice of ingredients.
One can also save their personal recipes also.

Rokto Sondhan
                  Blood group finder and ambulance service providing android app
                
AccomplishmentsIDE:Andriod Studio 
Database:Firebase
Language:Java
It is an open source Android application that allows people to search for Blood around their location.
It also provides emergency ambulence service,reminds donor about his next donation.

Infinity War
                  A first person game based on Marvel Comics Characters by Stan Lee.
                
AccomplishmentsIDE: Microsoft Visual Studio
Language: Visual C++
Infinity War is a 2018 American superhero film based on the Marvel Comics superhero team the Avengers.

Beauty Painters
                  An ASP webfrmae based website for makeup items.
                
AccomplishmentsIDE: Microsoft Visual Studio 
Database: MySQL
Web Framework:ASP.net
User & Admin Login
CART part is done user friendly.
Products are shown accoring to their Offers.The product with best offer is displayed in home.

Movie Ratings
                  A visualization of movies based on ratings using python , matplotlib and seaborn .
                
AccomplishmentsIDE: Jupyter Notebook
Lanuage: Python
Using dataset to identify highest rated movies using panda and visulaizing those movies using seaborn and matplotlib 

Heart disease Detection
                  A heart disease detecting using machine learning .
                
AccomplishmentsIDE: Jupyter Notebook
Lanuage: Python
Algorithm: Random Forest
Visualizing the dataset using seaborn and matplotlib
Detecting haert disease using machine learning