Air pollution is a major environmental issue that affects human health and well being. To combat this issue, a smart air monitoring system has been developed to provide real-time air quality data. The system uses various sensors to monitor the levels of pollutants in the air, such as particulate matter (PM), carbon monoxide (CO).

In IOT based monitoring project designed for keep on time track on the health status of the patient and updating to doctor at remote location anytime. With this effective device, health status of a critically ill patient can be constantly monitored. It can be used to keep track of health of aged people who frequently have heart or blood pressure issues. The IoT project developed here is built on Arduino UNO. It is interfaced with ESP8266 Wi-Fi modem to connect with an internet router and access the cloud server. The Arduino is interfaced with LM-35 temperature sensor to sense the body temperature and a pulse sensor to read pulse rate It continuously monitors the pulse rate and body temperature and updates them to an IoT platform. If any abnormalities are detected then system immediately sends notification to doctor. The IoT platform used in this project is ThingSpeak. Thingspeak has capabilities for Visualizing the collected data in the form of charts, Ability to create apps for collaborating with web services or social network and other APIs. The data from ThingSpeak to android application will send by HTTP request and HTTP response protocol. A threshold value is being set for pulse rate and body temperature. In android application there will be separate login credentials for patient and doctor. When the doctor will login, list of patients will be displayed along with two tags Patient Details and Health Status. In health status data from the Thingspeak will be fetched, doctor can check the medicine that the patient is consuming and can update is depending upon the health status. The patient can check the health status and medicine list and can also update details accordingly. Such a system consist of physiological data that stores, process and communicate through a local manner such as smart phones by using the system the health care professionals can monitor and advice their patient all the time.

MedAssist360 is an IoT-based smart healthcare system using ESP32 that monitors health parameters, detects falls and sleep patterns, provides timely medication reminders, and delivers weather-based health alerts. It integrates sensors, OLED display, and cloud connectivity for real-time monitoring and improved patient safety.

A real-time web application for patient monitoring using ReactJS, NodeJS, ExpressJS, MongoDB, and Raspberry Pi.

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My capstone project explores machine learning, hardware, and web development to create a smart home system for monitoring the health of homebound patients suffering from sleep apnea. The system includes data collection through sensors, embedded ML (TinyML) to analyze data, and web development for creating a medical dashboard.

A health Monitoring system built using thinkspeak for cloud service ,Python as middleware and Arduino with sensors for sensing

A smart, affordable, open-source livestock monitoring system to help combat health problems and livestock theft.

An ICU monitoring system using Raspberry Pi and various sensors, enabling real-time patient monitoring. • Established asynchronous communication between the Raspberry Pi and Django server using socket programming, Django Channels, and layers. • Integrated database interaction to store and retrieve patient data, ensuring efficient monito

Smart Guardian: An advanced plant monitoring system using visual and sensor data to provide AI-driven care suggestions for optimal plant health.

A Smart Livestock Health Monitoring System based on Internet of Things

A smart patient health tracking system that uses a Web Server, enabling the monitoring of vital parameters such as heart rate, blood oxygen level, and body temperature.

Production-ready auto-recovery system for OpenClaw Gateway. Makes AI agents as reliable as they are brilliant. 24/7 operation with automatic health monitoring, crash recovery, and smart restart logic.

Introducing the "Smart Health Monitoring System" - a real-time health monitoring medical device. It features continuous heart rate monitoring, SpO2 measurement, temperature tracking, sleep analysis, fall detection, and an emergency call button. Sends data to the cloud for remote monitoring via a dashboard, facilitating remote healthcare monitoring.

🩺 Smart Health Monitoring System with ESP32, AI Analytics & Real-time Dashboard Real-time heart rate and SpO2 monitoring system using ESP32 sensors, AI-powered health analysis, and modern web technologies. Features secure device authentication, personalized health recommendations, and comprehensive data visualization.

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An IOT system comprising of "Smart Wearables" and "Smart Home" devices built on "Arduino Platform" with "XBee" devices for wireless communication. The system monitors health of an elderly person, provides home automation and reports in case of an Emergency.

I recently developed an AI-powered poultry health monitoring system that integrates machine learning, computer vision, and web development to support smart farming and animal welfare. 🔍 The system uses a CNN-based model fine-tuned with YOLOv8 to classify and detect whether poultry are healthy or diseased.

Smart Health Monitoring System

Smart IoT Health Monitoring System with real-time vitals and appointments using React + Firebase.

Smart Agricultural Monitoring System Website 🌱 A platform leveraging AI and IoT for sustainable farming, featuring soil monitoring (NPK, pH), real-time data, and predictive insights to optimize crop health and productivity.

Real-Time System Health Monitor - A production-ready dashboard for monitoring CPU, memory, disk, and network metrics in real-time. Built with FastAPI + WebSocket backend and modern JavaScript frontend. Features beautiful Chart.js visualizations, smart alerts, and AI-ready API endpoints. Perfect for system monitoring and AI agent resource management

This system measures heart rate, temperature, and SpO2 levels using real-time sensors. Includes fall detection via MPU sensor—ideal for elderly or patient care. Health data is shown on a live dashboard, enabling remote monitoring, early alerts, and smart health management.

To avoid the defects of traditional methods of agriculture and to achieve Egypt Plan 2030 to avoid wasting water and saving energy and cost of planting by making agriculture fully automated and controlled by a smart vehicle and with assistance of Internet of Things (IoT). This project will be applied to a greenhouse to face water problems in Egypt. Whereas the smart vehicle will measure the temperature, humidity, CO2 levels, light intensity, soil moisture uploading this data to Azure cloud. The smart vehicle will irrigate the agricultural crops depending on the humidity & soil moisture to prevent wasting water and corrupting the crops. Also, the smart vehicle is provided with infrared sensors to detect and track the lanes in greenhouse in automatic mode, monitoring the status of the crops and the emergence of pests. the smart vehicle can be remotely controlled to spray the chemicals to the crop in manual mode, as it is extremely dangerous for human health. Sustainability is a part in the project that providing the smart vehicle with solar cells to recharge the battery and power bank. Also, implementing a water desalination system for water conservation by using saline water in agriculture.

Waste management is one of the primary problem that the world faces irrespective of the case of developed or developing country. The key issue in the waste management is that the garbage bin at public places gets overflowed well in advance before the commencement of the next cleaning process. Sometime the garbage collector truck not sufficient for collecting all the garbage. These in turn leads to various hazards such as bad odor & ugliness to that place which may be the root cause for spread of various diseases. Another issue is in the waste management is having more trucks and human resources than needed. To avoid all such hazardous scenario and maintain public cleanliness and health this work is mounted on a smart garbage system. We are living in an age where tasks and systems are fusing together with the power of IOT to have a more efficient system of working and to execute jobs quickly! With all the power at our finger tips this is what we have come up with. The traditional way of manually monitoring the wastes in waste bins is a cumbersome process and utilizes more human effort, time and cost which can easily be avoided with our present technologies. The main theme of the work is to develop a smart intelligent garbage alert system for a proper garbage management. What our system does is it gives a real time indicator of the garbage level in a trashcan at any given time using weight and volume (solar) sensors. Using that data and as the bins are containing GSM module we can give an alert signal to the municipal web server then optimize waste collection efficient routes, sufficient number of trucks and labors. It allows trash collectors to plan their daily/weekly pick up schedule.

Monitor an athlete daily activity and capture relevant data for specific activity.

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Smart Linux System Health Monitor is a native Linux graphical system monitoring application inspired by tools like htop, but implemented as a modern Qt-based GUI.

A smart helmet system using ESP32 for rider safety, featuring fall detection, health monitoring, alcohol sensing, and emergency SMS with GPS.

Structural Health Monitoring system that unifies deep learning and Finite Element modeling for real-time fault detection and dynamic response prediction in smart structures.