GitHub - VishalMadle13/SMRR: This project aimed to revolutionize restroom hygiene by developing a system that assessed cleanliness in real-time through odour detection and used machine learning for air quality analysis. The technologies employed included Python for scripting, Django for web development, Rest APIs for data communication, and Bootstrap for frontend design.

Smart Restroom Hygiene System

Objective: To create an IoT-driven solution for real-time restroom cleanliness assessment through odour detection and integrated machine learning for air quality analysis.
Technologies Used: Python, Django, Rest APIs, Bootstrap.
Description: This project aimed to revolutionize restroom hygiene by developing a system that assessed cleanliness in real-time through odour detection and used machine learning for air quality analysis. The technologies employed included Python for scripting, Django for web development, Rest APIs for data communication, and Bootstrap for frontend design.
Key Achievements:
- Implemented IoT sensors for odour detection.
- Integrated machine learning algorithms for air quality analysis.
- Developed a user-friendly web interface for real-time monitoring.
Duration: 3 Months
Team Size: 3

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
flutter		flutter
iot		iot
management		management
smrr		smrr
smrrVenv		smrrVenv
static		static
templates		templates
README.md		README.md
Smart Rest Room.postman_collection.json		Smart Rest Room.postman_collection.json
db.sqlite3		db.sqlite3
manage.py		manage.py
requirements.txt		requirements.txt
smrr_dashboard.png		smrr_dashboard.png
smrr_dashboard01.png		smrr_dashboard01.png
source_code.png		source_code.png