I'm a final-year Computer Science student at Effat University, specializing in Artificial Intelligence and working toward a career as an AI Engineer.
My interests include Machine Learning, Deep Learning, Computer Vision, and building AI-driven solutions for real-world problems.
Languages: Python, C++, Java, SQL, JavaScript, PHP, HTML, CSS
AI & Machine Learning: Machine Learning, Computer Vision, Transfer Learning, Model Evaluation, Feature Selection, Hyperparameter Tuning
Libraries & Frameworks: PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Pandas, NumPy, Matplotlib
Tools & Technologies: Git, GitHub, MySQL, Jupyter Notebook, Google Colab, Linux, Docker, Kubernetes, OpenShift, Cisco Packet Tracer
- 🩺 Early Preeclampsia Risk Prediction — Machine learning framework for early risk prediction using multi-source maternal health data and robustness testing.
- 👗 MoodCloset — AI-powered personalized fashion recommendation system combining computer vision, clothing classification, color analysis, skin-undertone detection, and mood-based recommendations.
- 🧠 EEG-Based Epileptic Seizure Detection — Data science analysis of EEG signals using EDA, feature engineering, and predictive modeling, with SVM achieving 97.8% accuracy and 98% seizure recall.
- ⌚ Smart Wearable Seizure Monitoring System — Award-winning software engineering project designing an AI-enabled wearable system for seizure monitoring, emergency alerts, and clinical reporting.
The Carbon Footprint of Artificial Intelligence: Mitigating the Environmental Impact of Data Centers
Conducted a structured review of 15 academic sources examining AI-related carbon emissions, data-center energy consumption, hardware lifecycle impacts, and sustainability strategies.