A modern, responsive portfolio website showcasing my work in Artificial Intelligence, Machine Learning, and Deep Learning.
Designed with a clean, minimal aesthetic, the website highlights featured projects, technical skills, certifications, and professional experience while emphasizing reproducible machine learning workflows and software engineering best practices.
Portfolio
- Modern responsive interface
- Dark minimalist design
- Animated neural network hero background
- Smooth scrolling
- Scroll reveal animations
- Professional typography
- Featured Machine Learning projects
- Technical skills overview
- Certifications & courses
- GitHub integration
- Contact section
- Mobile-friendly layout
This portfolio represents my work as a self-taught Machine Learning & Deep Learning engineer.
The website focuses on:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Computer Vision
- Reproducible ML pipelines
- Clean software architecture
- Professional GitHub projects
The portfolio showcases several complete AI and Machine Learning projects, including:
- Garbage Classification with Transfer Learning
- Credit Card Fraud Detection
- Chest X-ray COVID-19 Classification
- Google Stock Price Forecasting (LSTM)
- Student Performance Prediction
- Lung Cancer Prediction
Each project includes:
- Documentation
- Source code
- Model evaluation
- Visualizations
- Reproducible workflows
- HTML5
- CSS3
- JavaScript (Vanilla)
- Responsive Layout
- CSS Grid
- Flexbox
- CSS Animations
- Glassmorphism
- Gradient UI
- Custom Color System
- Space Grotesk
- Inter
- JetBrains Mono
- Git
- GitHub
- GitHub Pages
- VS Code
portfolio/
│
├── index.html
├── README.md
├── LICENSE
└── images/
├── profile.png/
├── favicon.png/
└── preview.png/
The portfolio was designed with the following principles:
- Simplicity
- Performance
- Accessibility
- Responsive design
- Clean typography
- Consistent visual hierarchy
- Maintainable code
- Professional presentation
The website is fully responsive and optimized for:
- Desktop
- Laptop
- Tablet
- Mobile devices
Featured learning includes:
- Python for Data Science and Machine Learning Bootcamp
- Deep Learning A–Z
- Machine Learning Specialization (Andrew Ng)
- Email: arianjafar59@gmail.com
- GitHub
If you found this project interesting, consider giving it a star.
This project is licensed under the MIT License.
Feel free to fork the repository and use it as inspiration for your own portfolio while providing appropriate attribution.