Students will be able to do their attendance using their iris scanner and fingerprint ,making it more transparent for authorities to monitor the students

This project uses smart devices to continuously track patients’ health (like heart rate, temperature, blood pressure, and oxygen levels) and sends that information over the internet to doctors and nurses, even if the patient is at home or in a different r

Farm IoT devices often work separately, causing delays in decision-making and difficulty in managing large amounts of data.

The wearable IoT device collects health & movement data, sends it to a mobile/cloud system, analyzes it, and shows alerts & insights to athletes and coaches so they can prevent fatigue/injury in real time.

A Sim card enables the the embedded computer in the car to connect to the cloud. The user can control and monitor the car from a distance

A smart traffic light system dynamically controls signal timing based on real-time traffic conditions. With IoT integration, it can send traffic data to a cloud server/dashboard for monitoring and analytics.

lights and fans are often left on in classrooms after classes are over. Motion sensors, along with other sensors can be used to monitor activity and turn off devices remotely when not in use

The connection and to be made between NodeMCU and the LED to manage traffic light with appropriate delays.

Detects student presence in class using RFID, Bluetooth, or facial recognition.

Overflowing of trash and non schedule pickup timing leads to unsanitary conditions in the college/campus. For this problem we are employing IOT methods to manage the current problem.

Detects and gives notification if there is abnormal beat

Students and Faculty face the problem with tracking the buses inside the campus which causes inconvenience and delay in activities. Solution: integrating IOT tech for tracking the bus and notifying the user.

Deploy IoT sensors at traffic intersections to collect real-time data on vehicle flow and congestion. Transmit this data securely via gateways using wireless protocols to cloud servers for processing. Analyze incoming data with machine learning algo

Problem: Electricity is often wasted at home due to lack of awareness and forgetfulness. Solution: Deploy IoT sensors on each appliance to track real-time energy consumption. The system analyzes usage data and provides recommendations for saving energy.

An IoT-enabled smart brush with sensors that track scalp health, dryness, and hair density, offering personalized tips and product recommendations through a mobile app.