Automated Washroom and Monitoring System: IoT-Driven Hygiene Management for University Facilities

For university washrooms which have high occupancy and smell surges—especially in post-class hours with peaks ranging from 25 to 35 users hourly and air quality dropping from 300 to 700 ppm—cause serious hygiene issues. The Automated Washroom and Monitoring System provides an IoTbased system combining two ESP8266 microcontrollers with HCSR04 ultrasonic sensors for occupancy tracking, DHT11 for humidity, and MQ-135 for air quality monitoring. A 5V relay manages ventilation and Firebase records real-time data and a Django dashboard offers administrative insights that show the real-time sensor data in the form of current ppm, current occupancy, and average ppm today and Twilio sends SMS warnings to maintenance staff. a bi-daily random forest model with 85% accuracy estimates cleaning requirements. Applied in a four-week pilot at Lovely Professional University, the approach validated by fifty user surveys (p = 0.03) dropped sanitary concerns by thirty%. This scalable system increases user comfort and operational efficiency around ₹1600. By addressing dynamic use patterns, it meets with India's Swachh Bharat aim and thereby sets a benchmark for smart hygienic management in public and educational facilities. Future advancements will include multiwashroom scalability and advanced prediction models integrating deep learning to boost accuracy and adaptability even more.