Smart Iot Device for Weather And Health
Authors
Department of ECE Chaitanya Bharathi institute of technology Hyderabad (India)
Department of ECE Chaitanya Bharathi institute of technology Hyderabad (India)
Department of ECE Chaitanya Bharathi institute of technology Hyderabad (India)
Department of ECE Chaitanya Bharathi institute of technology Hyderabad (India)
Department of ECE Chaitanya Bharathi institute of technology Hyderabad (India)
Article Information
DOI: 10.51244/IJRSI.2025.120800048
Subject Category: Information Technology
Volume/Issue: 12/8 | Page No: 570-580
Publication Timeline
Submitted: 2025-07-30
Accepted: 2025-08-04
Published: 2025-09-02
Abstract
This project shows an IoT Weather and Health Monitoring System based on the Raspberry Pi Pico W to monitor essential health parameters and environmental factors in real-time. It includes a BME280 sensor for temperature, humidity, and pressure, an MQ135 sensor for monitoring air quality, a Ds18b20 body temperature sensor, and a MAX30100 pulse oximeter and heart rate sensor for heart rate, SpO₂ level, and body temperature measurements. An OLED screen offers in-device feedback, and IoT connectivity along with a GSM module offers remote monitoring and real-time SMS alerting for emergency alerts like high fever, low air quality, dehydration hazard, and altitude-related oxygen shortage. The MQ135 sensor offers more environmental sensitivity through pollutant detection, which makes the system very useful for users in environments with low air quality. The GSM module guarantees alerts are sent even in areas with poor internet connectivity. The intelligent IoT prototype is suitable for outdoor enthusiasts, the elderly, and patients with respiratory or cardiovascular diseases, providing real-time monitoring of health, environment, and emergency alerts. Future upgrades could involve AI-powered predictive analytics, integration with mobile health apps, and cloud data logging for long-term trend identification and enhanced emergency response.
Keywords
IoT, Raspberry Pi Pico W, BME280, MAX30100, GSM, Health Monitoring, Air Quality.
Downloads
References
1. S. Dey and T. Bera, "Design and Development of a Smart and Multipurpose IoT Embedded System Device Using ESP32 Microcontroller," 2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM), Roorkee, India, 2023, pp. 1-6, doi: 10.1109/ELEXCOM58812.2023.10370327. [Google Scholar] [Crossref]
2. G. V. Shevchenko, N. A. Glubokov, A. V. Yupashevsky and A. S. Kazmina, "Air Flow Sensor Based on Environmental Sensor BME280," 2020 21st International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM), Chemal, Russia, 2020, pp. 432-435, doi: 10.1109/EDM49804.2020.9153474. [Google Scholar] [Crossref]
3. Z. K. Farej and H. Y. Al-hayaly, "Accuracy Evaluation of Healthcare Monitoring System Based on ESP32 Microcontroller with IoT," 2023 International Conference on Engineering, Science and Advanced Technology (ICESAT), Mosul, Iraq, 2023, pp. 90-94, doi: 10.1109/ICESAT58213.2023.10347330. [Google Scholar] [Crossref]
4. N. A. Yusuf, F. Y. Zulkifli and I. W. Mustika, "Development of Monitoring and Health Service Information System to Support Smart Health on Android Platform," 2018 4th International Conference on Nano Electronics Research and Education (ICNERE), Hamamatsu, Japan, 2018, pp. 1-6, doi: 10.1109/ICNERE.2018.8642592. [Google Scholar] [Crossref]
5. H. H. Qasim et al., "Enhancing Weather Monitoring: A Comprehensive Study Utilizing IoT, ESP32, Sensor Integration, and Blynk Platform," 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Bandung, Indonesia, 2024, pp. 156-161, doi: 10.1109/ICSIMA62563.2024.10675553. [Google Scholar] [Crossref]
6. A. Hanah, R. Farook, S. J. Elias, M. R. A. Rejab, M. F. M. Fadzil and Z. Husin, "IoT Room Control And Monitoring System Using Rasberry Pi," 2019 4th International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), Kedah, Malaysia, 2019, pp. 1-4, doi: 10.1109/ICRAIE47735.2019.9037759. [Google Scholar] [Crossref]