My Projects
A showcase of my technical development work and research contributions in AI and Data Science.
💻 Technical Projects
2D to 3D Image Conversion
Technologies: Python, OpenCV, NumPy
Achievement: Image depth estimation & visualization
Built a computer vision pipeline to convert 2D images into 3D representations.
Employee Attrition Prediction
Technologies: Scikit-learn, Pandas, Jupyter Notebook
Achievement: 86% prediction accuracy
Developed ML models to predict employee attrition using HR datasets.
Syntactic Tree Generation Pipeline
Technologies: Python, NLTK
Achievement: Automated parsing of text
Built a syntactic tree generation pipeline for natural language sentences using NLTK.
Wikipedia Text Classification
Technologies: Python, NLP, Scikit-learn
Achievement: Efficient text categorization
Designed a text classification model for Wikipedia articles.
GDP Per Capita Analysis & Prediction
Technologies: Python, Scikit-learn, Flask, MySQL
Achievement: 85% GDP forecasting accuracy
Developed a predictive model for GDP per capita using economic datasets.
Furry System (Early Project)
Technologies: Python Basics, GitHub
Achievement: Foundational coding project
An exploratory project to strengthen programming fundamentals.
📖 Research Projects
Research Publication — Human Psychological Factors in Cybersecurity
Technologies: Cybersecurity, Human Factors, Software Engineering
Achievement: Published in International Journal of Telecommunications & Emerging Technologies (2023)
Peer-reviewed research paper analyzing the role of human psychological factors in software engineering cybersecurity practices.
Surgical Workflow Analysis
Technologies: PyTorch, OpenCV, Time-Series Forecasting
Achievement: 86% accuracy in workflow recognition
AI-driven healthcare research project at University of Verona.