Metadata-Version: 2.4
Name: tariful-nexusview
Version: 0.0.2
Summary: A modern AI python package.
Home-page: https://github.com/Tariful3/NexusView
Author: Tariful3
Author-email: tarifulsarkar009@gmail.com
License: Apache
Project-URL: Bug Tracker, https://github.com/Tariful3/NexusView/issues
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
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Provides-Extra: testing
Requires-Dist: pytest>=7.1.3; extra == "testing"
Requires-Dist: mypy>=0.971; extra == "testing"
Requires-Dist: flake8>=5.0.4; extra == "testing"
Requires-Dist: tox>=3.25.1; extra == "testing"
Dynamic: author
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<div align="center">

# 🚀 NexusView

### A Modern AI-Powered Computer Vision Framework

[![Python](https://img.shields.io/badge/Python-3.10+-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/)
[![License](https://img.shields.io/badge/License-MIT-green?style=for-the-badge)](LICENSE)
[![Status](https://img.shields.io/badge/Status-Under%20Development-orange?style=for-the-badge)]()
[![GitHub Stars](https://img.shields.io/github/stars/Tariful3/NexusView?style=for-the-badge)](https://github.com/Tariful3/NexusView)
[![GitHub Forks](https://img.shields.io/github/forks/Tariful3/NexusView?style=for-the-badge)](https://github.com/Tariful3/NexusView)

**NexusView** is a modern, scalable, and developer-friendly computer vision framework designed to simplify AI model development, experimentation, visualization, and deployment. It provides a structured workflow for building deep learning applications while maintaining clean, modular, and reusable code.

</div>

---

# 📑 Table of Contents

- Overview
- Features
- Project Structure
- Installation
- Quick Start
- Configuration
- Technologies
- Roadmap
- Contributing
- License
- Author

---

# 📖 Overview

NexusView aims to provide an organized ecosystem for developing computer vision projects. Whether you're training deep learning models, performing image classification, object detection, segmentation, or experimenting with custom architectures, NexusView offers a clean and extensible foundation.

The project is designed with scalability and maintainability in mind, making it suitable for research, production prototypes, and educational purposes.

---

# ✨ Features

- Modern project architecture
- Modular codebase
- Easy configuration management
- Deep Learning ready
- Image preprocessing utilities
- Dataset management
- Model training pipeline
- Evaluation metrics
- Visualization tools
- Experiment tracking
- GPU acceleration support
- Easy deployment workflow
- Cross-platform compatibility

---

# 📂 Project Structure

```text
NexusView/
│
├── configs/
├── data/
│   ├── raw/
│   ├── processed/
│   └── samples/
│
├── docs/
├── models/
├── notebooks/
├── outputs/
│   ├── checkpoints/
│   ├── logs/
│   └── predictions/
│
├── scripts/
├── src/
│   ├── datasets/
│   ├── models/
│   ├── training/
│   ├── evaluation/
│   ├── visualization/
│   └── utils/
│
├── tests/
├── requirements.txt
├── README.md
└── LICENSE
```

---

# ⚙️ Installation

Clone the repository

```bash
git clone https://github.com/Tariful3/NexusView.git
```

Navigate into the project

```bash
cd NexusView
```

Create a virtual environment

```bash
conda create -n nexusview python=3.10
conda activate nexusview
```

Install dependencies

```bash
pip install -r requirements.txt
```

---

# 🚀 Quick Start

Run the project

```bash
python app.py
```

or

```bash
python main.py
```

> Update the command above according to your project entry point.

---

# ⚙️ Configuration

Project configurations are managed inside the `configs/` directory.

Example:

```yaml
batch_size: 32
learning_rate: 0.001
epochs: 50
device: cuda
```

---

# 🛠 Technologies

- Python
- PyTorch
- OpenCV
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- Jupyter Notebook
- Git
- GitHub

---

# 📊 Project Status

🚧 **Under Active Development**

New features, improvements, and documentation are continuously being added.

---

# 🗺 Roadmap

- Project initialization
- Dataset management
- Training pipeline
- Model evaluation
- Visualization dashboard
- Model deployment
- REST API
- Docker support
- Documentation website

---

# 🤝 Contributing

Contributions are welcome!

If you'd like to contribute:

1. Fork the repository
2. Create a new branch

```bash
git checkout -b feature/your-feature
```

3. Commit your changes

```bash
git commit -m "Add new feature"
```

4. Push the branch

```bash
git push origin feature/your-feature
```

5. Open a Pull Request

---

# 📄 License

This project is licensed under the MIT License.

See the **LICENSE** file for more information.

---

# 👨‍💻 Author

**Md. Tariful Islam**

GitHub: https://github.com/Tariful3

---

<div align="center">

### ⭐ If you find this project useful, consider giving it a Star!

Made with ❤️ by **Md. Tariful Islam**

</div>
