- 🎓 Currently pursuing a BSc in Software Engineering at Superior University, Lahore, Pakistan
- 💻 I build console-based applications in C++ and Python, focused on OOP, data structures, and clean file handling
- 🔭 Recent projects include a restaurant management system, a US taxation calculator, and a student database manager
- 🌱 Continuously learning and sharpening my problem-solving and software development fundamentals
- 🤝 Also active in community welfare work — volunteering with Alkhidmat Foundation and the Learners Nexus National Citizen Project
| Project | Description | Tech |
|---|---|---|
| Football-Prediction-Analysis | FIFA World Cup 2026 analytics dashboard featuring Monte Carlo match simulations, xG shot maps, pass vectors, and tactical heatmaps built with Python | Python, Html, Tailwind CSS, Chart.js, NumPy, Panda, Matplotlib, Seaborn |
| Intelligent-Multi-Class-Natural-Language-Text-Sentiment-Classifier | A machine learning-based sentiment analysis project that classifies text into Positive, Negative, and Neutral sentiments. The project uses TF-IDF vectorization and a trained classification model to generate sentiment predictions along with probability scores. Built as part of my AI/ML internship, with a focus on NLP preprocessing, model | Python, NLTK, Pandas, NumPy, Scikit-learn, Joblib, Matplotlib, Seaborn, Flask, HTML, CSS, JavaScript |
| Space-Hub | An AI-powered space platform built with React, Node.js, NASA Open API, and Google Gemini AI for galaxy classification, astronomical fact-checking, and image processing. | Frontend: React 19, TypeScript, Vite, Tailwind CSS, Motion (Framer Motion), Lucide React, Backend: Node.js, Express, Multer, Sharp, AI &** External APIs:** Google Gen AI SDK (Gemini 3 Flash), NASA Open API, Image Processing: Sharp (Node.js) / OpenCV (Python pipeline) |