---
title: PROJECT_NAME
colorFrom: COLOR_FROM
colorTo: COLOR_TO
sdk: docker
---
PROJECT_EMOJI PROJECT_NAME
[](https://www.python.org/)
[](https://flask.palletsprojects.com/)
[](https://www.docker.com/)
[](https://huggingface.co/mnoorchenar/spaces)
[](#)
**PROJECT_EMOJI PROJECT_NAME** β PROJECT_DESCRIPTION
---
## Table of Contents
- [Features](#-features)
- [Architecture](#οΈ-architecture)
- [Getting Started](#-getting-started)
- [Docker Deployment](#-docker-deployment)
- [Dashboard Modules](#-dashboard-modules)
- [ML Models](#-ml-models)
- [Project Structure](#-project-structure)
- [Author](#-author)
- [Contributing](#-contributing)
- [Disclaimer](#disclaimer)
- [License](#-license)
---
## β¨ Features
| FEATURE_EMOJI_1 FEATURE_TITLE_1 |
FEATURE_DESCRIPTION_1 |
| FEATURE_EMOJI_2 FEATURE_TITLE_2 |
FEATURE_DESCRIPTION_2 |
| FEATURE_EMOJI_3 FEATURE_TITLE_3 |
FEATURE_DESCRIPTION_3 |
| FEATURE_EMOJI_4 FEATURE_TITLE_4 |
FEATURE_DESCRIPTION_4 |
| π Secure by Design |
Role-based access, audit logs, encrypted data pipelines |
| π³ Containerized Deployment |
Docker-first architecture, cloud-ready and scalable |
---
## ποΈ Architecture
```
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β PROJECT_NAME β
β β
β βββββββββββββ βββββββββββββ βββββββββββββββββ β
β β Data βββββΆβ ML βββββΆβ Flask API β β
β β Sources β β Engine β β Backend β β
β βββββββββββββ βββββββββββββ βββββββββ¬ββββββββ β
β β β
β ββββββββββΌβββββββββ β
β β Plotly Dash β β
β β Dashboard β β
β βββββββββββββββββββ β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
```
---
## π Getting Started
### Prerequisites
- Python 3.10+
- Docker & Docker Compose
- Git
### Local Installation
```bash
# 1. Clone the repository
git clone https://github.com/mnoorchenar/PROJECT_NAME.git
cd PROJECT_NAME
# 2. Create a virtual environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
# 3. Install dependencies
pip install -r requirements.txt
# 4. Configure environment variables
cp .env.example .env
# Edit .env with your settings
# 5. Run the application
python app.py
```
Open your browser at `http://localhost:7860` π
---
## π³ Docker Deployment
```bash
# Build and run with Docker Compose
docker compose up --build
# Or pull and run the pre-built image
docker pull mnoorchenar/PROJECT_NAME
docker run -p 7860:7860 mnoorchenar/PROJECT_NAME
```
---
## π Dashboard Modules
| Module | Description | Status |
|--------|-------------|--------|
| MODULE_EMOJI_1 MODULE_NAME_1 | MODULE_DESC_1 | β
Live |
| MODULE_EMOJI_2 MODULE_NAME_2 | MODULE_DESC_2 | β
Live |
| MODULE_EMOJI_3 MODULE_NAME_3 | MODULE_DESC_3 | β
Live |
| MODULE_EMOJI_4 MODULE_NAME_4 | MODULE_DESC_4 | π Beta |
| MODULE_EMOJI_5 MODULE_NAME_5 | MODULE_DESC_5 | β
Live |
| MODULE_EMOJI_6 MODULE_NAME_6 | MODULE_DESC_6 | ποΈ Planned |
---
## π§ ML Models
```python
# Core Models Used in PROJECT_NAME
models = {
"MODEL_KEY_1": "MODEL_VALUE_1",
"MODEL_KEY_2": "MODEL_VALUE_2",
"MODEL_KEY_3": "MODEL_VALUE_3",
"MODEL_KEY_4": "MODEL_VALUE_4",
"MODEL_KEY_5": "MODEL_VALUE_5"
}
```
---
## π Project Structure
```
PROJECT_NAME/
β
βββ π app/
β βββ π models/ # ML model definitions & loaders
β βββ π routes/ # Flask API endpoints
β βββ π dashboards/ # Plotly Dash layouts
β βββ π utils/ # Helpers, preprocessing, logging
β
βββ π data/
β βββ π raw/ # Raw data sources
β βββ π processed/ # Feature-engineered datasets
β
βββ π notebooks/ # Exploratory analysis & model training
βββ π tests/ # Unit and integration tests
βββ π app.py # Application entry point
βββ π Dockerfile # Container definition
βββ π docker-compose.yml # Multi-service orchestration
βββ π requirements.txt # Python dependencies
βββ π .env.example # Environment variable template
```
---
## π¨βπ» Author
Mohammad Noorchenarboo
Data Scientist | AI Researcher | Biostatistician
π Ontario, Canada π§ [mohammadnoorchenarboo@gmail.com](mailto:mohammadnoorchenarboo@gmail.com)
ββββββββββββββββββββββββββββββββββββββ
[](https://www.linkedin.com/in/mnoorchenar)
[](https://mnoorchenar.github.io/)
[](https://huggingface.co/mnoorchenar/spaces)
[](https://scholar.google.ca/citations?user=nn_Toq0AAAAJ&hl=en)
[](https://github.com/mnoorchenar)
|
---
## π€ Contributing
Contributions are welcome! Please follow these steps:
1. **Fork** the repository
2. **Create** a feature branch: `git checkout -b feature/amazing-feature`
3. **Commit** your changes: `git commit -m 'Add amazing feature'`
4. **Push** to the branch: `git push origin feature/amazing-feature`
5. **Open** a Pull Request
---
## Disclaimer
This project is developed strictly for educational and research purposes and does not constitute professional advice of any kind. All datasets used are either synthetically generated or publicly available β no real user data is stored. This software is provided "as is" without warranty of any kind; use at your own risk.
---
## π License
Distributed under the **MIT License**. See [`LICENSE`](LICENSE) for more information.
---

[](https://github.com/mnoorchenar/PROJECT_NAME)
[](https://github.com/mnoorchenar/PROJECT_NAME/fork)
The name "PROJECT_NAME" is used purely for academic and research purposes. Any similarity to existing company names, products, or trademarks is entirely coincidental and unintentional. This project has no affiliation with any commercial entity.