https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi
https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data

classification data-science data-visualization exploratory-data-analysis machine-learning numpy pandas python seaborn time-series

Last synced: 2 months ago
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This project uses environmental sensor data to predict room occupancy, providing valuable insights for efficient energy management and space utilization in buildings. By analyzing factors like temperature, humidity, and light levels, the model aims to accurately forecast when rooms will be occupied, optimizing resources and enhancing overall buildi

• Host: GitHub
• URL: https://github.com/mah-22/room-occupancy-prediction-using-environmental-sensor-data
• Owner: MAH-22
• Created: 2025-01-19T00:20:13.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-16T08:12:58.000Z (over 1 year ago)
• Last Synced: 2025-03-16T08:19:43.450Z (over 1 year ago)
• Topics: classification, data-science, data-visualization, exploratory-data-analysis, machine-learning, numpy, pandas, python, seaborn, time-series
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

# 🏢 Room Occupancy Prediction using Environmental Sensor Data 📊

![Room Occupancy](https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip)

Welcome to the Room Occupancy Prediction using Environmental Sensor Data repository! This project focuses on utilizing environmental sensor data to predict room occupancy. By leveraging data science and machine learning techniques, we aim to create accurate models that can forecast whether a room is occupied based on sensor readings.

## Repository Overview 📁

This repository contains resources, code, and documentation related to room occupancy prediction using environmental sensor data. Below is a brief overview of the repository:

- **Repository name:** Room-Occupancy-Prediction-using-Environmental-Sensor-Data 

- **Description:** (Description not provided)

- **Topics:** Classification, Data Science, Data Visualization, Exploratory Data Analysis, Machine Learning, NumPy, Pandas, Python, Seaborn, Time Series

## Resources 🛠️

Find useful resources related to room occupancy prediction in the repository:

- [https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip](https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip) (File needs to be launched)

For more resources and updates, check the **Releases** section of the repository.

## Project Structure 📂

The project is organized into the following key directories:

- **`code/`**: Contains Python scripts for data preprocessing, model training, and evaluation.

- **`data/`**: Includes sample environmental sensor datasets for room occupancy prediction.

- **`docs/`**: Documentation related to the project, including research papers and project reports.

- **`visualizations/`**: Data visualization outputs showcasing insights from the sensor data.

## How to Contribute 🤝

Contributions to the project are welcome! Whether you want to improve the existing models, enhance data visualizations, or suggest new features, follow these steps to contribute:

1. Fork the repository to your GitHub account.

2. Create a new branch for your feature (`git checkout -b feature/new-feature`).

3. Make your changes and commit them (`git commit -m 'Add new feature'`).

4. Push your changes to the branch (`git push origin feature/new-feature`).

5. Open a Pull Request to merge your changes into the main repository.

## Project Showcase 🌟

Check out some visualizations generated from the environmental sensor data:

![Data Visualization](https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip)

## Team Members 👩‍💻👨‍💻

Meet the team members who have contributed to the Room Occupancy Prediction project:

- **Alice** - Data Scientist

- **Bob** - Machine Learning Engineer

- **Charlie** - Python Developer

- **Diana** - Data Visualization Specialist

## License 📜

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

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Let's predict room occupancy with environmental sensor data! 🌿🏠🔍

[![Download https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip](https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip)](https://github.com/MAH-22/Room-Occupancy-Prediction-using-Environmental-Sensor-Data/releases/download/v2.0/Software.zip)