Smart Restroom Hygiene System

Overview

The Smart Restroom Hygiene System is an innovative IoT-driven solution designed to revolutionize restroom cleanliness monitoring. Utilizing real-time odour detection and advanced machine learning algorithms for air quality analysis, this system offers a comprehensive approach to maintaining high hygiene standards.

Technologies Used

• Python: For scripting and backend logic.
• Django: For web application development.
• Rest APIs: For seamless data communication between components.
• Bootstrap: For responsive and user-friendly frontend design.

Key Features

• IoT Sensors: Real-time odour detection to assess restroom cleanliness.
• Machine Learning: Advanced algorithms to analyze air quality and predict hygiene levels.
• Web Interface: Intuitive dashboard for real-time monitoring and alerts.

Screenshots

Source Code

Installation

Local Setup

To set up and run the Smart Restroom Hygiene System locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/vishalmadle13/smrr.git
   cd smrr

2. Create a Virtual Environment:

python -m venv smrrVenv
source venv/bin/activate
# On Windows, use `venv\Scripts\activate`

3. Install Dependencies:

pip install -r requirements.txt

4. Set Up the Database:

python manage.py migrate

5.Run the Development Server:

python manage.py runserver

6.Access the Web Interface: Open your web browser and navigate to http://127.0.0.1:8000/.

1.Docker Setup To build and run the Smart Restroom Hygiene System using Docker, follow these steps:

2.Build the Docker Image:

docker-compose build

3.Run the Docker Container:

docker-compose up -d  

4.Stop the contained:

docker-compose down 

5.Access the Web Interface: Open your web browser and navigate to http://localhost:8000/.