Eman Fatima

CS Student at COMSATS | AI & Systems Developer | Calm Under Pressure

Based in: Lahore, Pakistan

Computer Science student at COMSATS University with a focus on AI and high-performance systems. Developed DermAI Pro, achieving 70% accuracy on a 10,000-image dataset, and built a C++ search engine core with microsecond retrieval speeds. Known for a calm, analytical approach to complex problem-solving and a drive for building scalable technical solutions.

Skills

Technical

Data Structures & Algorithms

C++

Python

Convolutional Neural Networks (CNN)

JavaFX

VS Code

OOP

Java

Flask

Model Training & Evaluation

SceneBuilder

IntelliJ IDEA

PyCharm

MySQL

MVC

Software Engineering

Database Design

Code::Blocks

Kaggle Datasets

SQL Server Management Studio

TensorFlow/Keras

HTML

CSS

Projects

Zombie Survival Game

Developeracademic

Built a zombie survival game using core DSA concepts, applying graphs with BFS/DFS for pathfinding and game logic. Used sorting and search algorithms to manage in-game systems and improve overall gameplay logic and efficiency.

C++DSA

Auriver – Ride Sharing Application

Developeracademic

Built a Java/JavaFX ride-sharing system with user & driver modules, ride booking flow, and fare calculation. Applied OOP and MVC, used file I/O for data persistence, and added validation and error handling for a smooth experience.

JavaJavaFXOOPMVCFile I/O

DermAI Pro – AI-Powered Skin Disease Detection App

Developerpersonal

Developed DermAI Pro, a Flask-based web application that detects and classifies skin diseases from images using a custom-trained Convolutional Neural Network (CNN). Navigated significant dataset ambiguity and scale issues while training and validating the model on a dermatology image dataset sourced from Kaggle. Applied preprocessing, augmentation, and performance tuning to improve classification accuracy. Built an end-to-end pipeline integrating the trained model with a Flask backend for real-time image upload, prediction, and result display.

PythonFlaskCNNKaggle

Search Engine Core Implementation

Developerpersonal

Implemented a CUI-based Search Engine Core in C++ featuring complete text processing, query parsing, indexing, ranking algorithms, and performance optimization techniques. Tested indexing and retrieval modules using a multi-document corpus.

C++DSAInverted IndexTF-IDF Ranking

Education

Bachelor of Science

COMSATS University, LahoreComputer ScienceGPA 3.752024 – Jun 2028

Coursework

Database SystemsComputer NetworksArtificial IntelligenceData Structures & AlgorithmsObject-Oriented ProgrammingSoftware EngineeringProgramming Fundamentals

Recognition

Awards

WITF Representative

LUMS

Represented my institute at WITF, LUMS, and actively competed in various technical and analytical competitions.

Certifications

Social Media Marketing (SMM)

Women Empowerment Skill Program (WESP)

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