https://github.com/ayuub34/siesta-smart

This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
https://github.com/ayuub34/siesta-smart

ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn

Last synced: 11 days ago
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This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.

• Host: GitHub
• URL: https://github.com/ayuub34/siesta-smart
• Owner: Ayuub34
• License: mit
• Created: 2024-09-04T14:57:06.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-09-11T16:14:55.000Z (10 months ago)
• Last Synced: 2025-03-11T21:41:33.435Z (4 months ago)
• Topics: ai, data-analysis-python, data-processing, data-science, jupyter-python, machine-learning, matplotlib, numpy, pandas, powerbi-report, pyqt5, scipy, seaborn, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 4.61 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Siesta Smart PMS (AIaaS)

Introduction

Welcome to Siesta_Smart PMS Project! This project is designed to be an in-house software for a 2-Way Property Management System (2-Way PMS) optimized with Artificial Intelligence (AI) technologies. Our goal is to enhance the efficiency and effectiveness of property management through advanced technology solutions.  

 

Features

    AI and ML Integration: using AI and ML to optimize property management processes.

    User-Friendly Interface: A clean and intuitive GUI for easy navigation and usage.

    Automated Scheduling: Efficient scheduling of tasks and resources.

    Predictive Analytics: Insights and forecasts to make informed decisions.

    Customizable Reports: Generate and customize reports as per your needs.

    Real-time Monitoring: Keep track of your property operations in real-time.

Technologies Used

    Data Processing and Analysis: Python, Power BI, Power Query, DAX

    AI/ML: Python (scikit-learn, TensorFlow, ...)

    Developement: Python

    Database: SQL, CSV

    GUI: PyQt5

    Hosting: AWS, Azure, or Google Cloud Platform ??

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or suggestions, please contact me at [email protected].