- 🎓 Junior Software Engineering student at NED University.
- 💡 Passionate about Machine Learning, Artificial Intelligence and Computer Vision.
- 🌱 Currently learning ML, DL frameworks & exploring AI.
- ✨ Love working on innovative and impactful projects.
- Content Craft | AI – Web application for content generation built with Next.js and integrated with AI APIs.
- ParkEase | OpenCV – Object detection system to detect free parking spaces.
- Experience the Unseen | OpenCV – Image processing system to assist color blinds.
- Student Depression Predictor | ML – Logistic regression model predicting likelihood of student depression.
- California Housing Price Prediction | ML – ML model using scikit-learn, deployed with Flask for real-time predictions.
- BlinkIt Sales Data Analysis | Excel – Analyzed sales data using using advanced excel to identify trends and insights.
- Road Accident Dashboard |Excel – Analyzed accident data using using advanced excel to identify accident rates, trends and insights.
- Sales Analysis | Power BI – Analyzed customer transactions, market patterns, and revenue trends using structured datasets and visualizations.
I'm documenting my learning path here (ML/DL, AI, tools, etc.). Some repos may include notes, code experiments, and small projects.
- Machine Learning Notes – Concepts, notebooks, and small ML projects.
- Deep Learning Experiments – Neural networks, CNNs, and practice notebooks.
- Learning Javascript – Include Js fundamentals, DOM, and advanced JS
This section highlights coursework, notes, and projects done as part of my university studies.
- OS Work – Notes and coding practice from Operating Systems.
- Cpp programs – Includs cpp fundamentals
- Python Essentials – Includs py fundamentals + tkinter
- DSA Labs – Includs DSA labs, coded in cpp
📧 gul.fatima1074@gmail.com