A comprehensive collection of artificial intelligence, machine learning, and deep learning projects showcasing practical implementations and real-world applications. This repository demonstrates proficiency in various AI domains including computer vision, machine learning, and natural language processing.
This repository showcases hands-on projects ranging from classic deep learning problems to advanced AI applications, all implemented with modern frameworks and best practices.
AI & Data Engineering student passionate about building intelligent systems and solving complex problems with machine learning. Continuously learning and implementing cutting-edge AI technologies.
Projects focused on image processing, object detection, and visual recognition tasks using deep learning architectures.
Classical and modern machine learning algorithms, model training, and evaluation techniques.
Text analysis, language models, and NLP applications for understanding and generating human language.
| Project | Category | Description | Accuracy | Technologies |
|---|---|---|---|---|
| Handwritten Digit Recognition | Computer Vision | PyTorch-based CNN model for recognizing handwritten digits (0-9) from MNIST dataset | 99.47% | PyTorch, CNN, CUDA |
- Deep Learning: PyTorch, TensorFlow
- Machine Learning: scikit-learn, XGBoost
- Data Processing: NumPy, Pandas
- Visualization: Matplotlib, Seaborn, Plotly
- Development: Python, Jupyter Notebooks, Git
- GPU Computing: CUDA, cuDNN
- Classification projects with various algorithms
- Regression analysis and prediction models
- Ensemble methods and model optimization
- Text classification and sentiment analysis
- Language models and text generation
- Named Entity Recognition (NER) projects
- Object detection projects
- Image segmentation tasks
- Advanced CNN architectures
- Total Projects: 1 (and growing)
- Categories: 3
- Languages: Python
- Frameworks: PyTorch
- GitHub: Gunbaz
Feel free to reach out for collaborations, questions, or discussions about AI/ML projects!
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Note: This portfolio is continuously updated with new projects and improvements. Check back regularly for updates!
Last Updated: December 2025