HEALTH HUB in college to maintain it.pptx

ssuser5fe4aa 8 views 10 slides Mar 10, 2025
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About This Presentation

ealthcare encompasses the efforts to maintain, restore, or promote someone's physical, mental, or emotional well-being, often performed by trained professionals like doctors, nurses, and psychologists.
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HEALTH HUB GUIDED BY Mrs.D . Umamaheswari, AP/ECE ST. ANNE'S COLLEGE OF ENGINEERING & TECHNOLOGY ANGUCHETTYPALAYAM, PANRUTI PROJECT MEMBERS 1. IMMANVEL T(4221211060615) 2. KARTHIKEYAN U(422121106017 ) 3. DURAIMURUGAN A(422121106013 ) 4. SRIHARI K(422121106034) DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING 03/04/25 <number>

ABSTRACT Health Hub integrates IoT and AI for public sanitation, using sensors to monitor cleanliness, odor, and occupancy, ensuring hygiene with minimal manual intervention . The system automates cleaning processes using AI-driven analytics, reducing maintenance costs and optimizing resource consumption . Real-time monitoring and predictive maintenance improve sanitation standards, providing a cost-effective and scalable solution for public restrooms. EC8811-Project Work (Zeroth Review) <number> 04/03/25

INTRODUCTION Public restrooms are essential for maintaining hygiene in urban and rural areas, yet their upkeep is often neglected, leading to health risks . Traditional cleaning methods rely on manual labor, which can be inconsistent and inefficient, resulting in poor sanitation conditions . Advanced technologies like Artificial Intelligence (AI) and the Internet of Things ( IoT ) can revolutionize restroom management through automation and real-time monitoring.AI-powered toilets can detect occupancy, monitor cleanliness, and activate automated cleaning mechanisms, reducing the need for human intervention . Implementing smart solutions in sanitation infrastructure not only enhances hygiene but also optimizes water and energy consumption for long-term sustainability.

LITERATURE SURVEY Paper title IoT-Based Smart Public Toilets Name of the journal International Journal of Smart Infrastructure Year of Publication 2024 Authors Kumar R., Sharma P., and Gupta S. Observation Implemented an IoT framework for real-time monitoring of sanitation levels, reducing maintenance costs by 35%.

LITERATURE SURVEY Paper title AI-Driven Cleaning Systems for Public Restrooms Name of the journal Journal of Emerging Technologies in Smart Cities Year of Publication 2024 Authors Zhang L., Chen W., and Li H. Observation Developed an AI-based cleaning system that reduced manual labor costs by 30% and improved hygiene levels significantly.

EXISTING SYSTEM Manual Cleaning Dependency Requires human intervention for regular cleaning, often leading to delays and unhygienic conditions. Lack of Real-Time Monitoring No automated mechanism to track cleanliness, occupancy, or odor levels in public restrooms. Inefficient Resource Utilization Excessive water and energy consumption due to the absence of smart resource management systems. Odor Control Issues Traditional air fresheners and ventilation systems are ineffective in consistently managing odor levels. Un optimized Maintenance Scheduling Maintenance is conducted on a fixed schedule rather than based on actual usage patterns, leading to either excessive or inadequate cleaning.

PROPOSED SYSTEM Automated Cleaning Mechanism AI-powered detect restroom usage and initiate automatic cleaning after each use to maintain hygiene. The system efficiently regulates water and electricity usage based on restroom activity, reducing waste and operational costs . Real-Time Monitoring and Alerts IoT enabled track cleanliness, odor levels, and restroom occupancy, sending alerts for maintenance when necessary . AI-based odor detection mechanisms automatically activate air purifiers or ventilation systems to ensure a fresh environment . Predictive Maintenance with AI Machine learning models analyze usage patterns to predict peak hours and schedule maintenance proactively, preventing downtime and ensuring continuous cleanliness.

ENERGY MANAGEMENT CONTROL SYSTEM (IOT GATEWAY) SENSOR & DETECTION DATA PROCESSING AND PREDICTION UNIT ACTUATORS & CLEANING MECHANISMS WATER & CLEANING SOLUTION SUPPLY USER INTERFACE (UI) BLOCKDIAGRAM MQ-135 SENSOR RFID,READER MQ-4 SENSOR DHT-11 TEMPERATURE HUMIDITY,SENSOR

REFERENCES Kumar R., Sharma P., & Gupta S. (2021). IoT -Based Smart Public Toilets. International Journal of Smart Infrastructure. Zhang L., Chen W., & Li H. (2020). AI-Driven Cleaning Systems for Public Restrooms. Journal of Emerging Technologies in Smart Cities. Lee J., Park Y., & Kim H. (2019). AI-Based Odor Management in Public Sanitation. Environmental Monitoring and Control Journal. Smith D., Johnson K., & Brown M. (2022). Robotics and AI in Automated Restroom Cleaning. International Journal of Robotics & AI Applications. Patel R., Singh A., & Verma S. (2021). Predictive Analytics for Public Restroom Hygiene. Journal of Data Science and Urban Management.

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