IEEE Final Year Projects for ECE

Overview Of IEEE

Through highly cited publications, conferences, technology standards, and professional and educational activities, IEEE and its members encourage people all over the world to think of new ways to make the world a better place. IEEE is the "voice" for information about engineering, computing, and technology around the world.
IEEE is the world's largest group of technical professionals who work to improve technology for the good of all people. Through its highly cited publications, conferences, technology standards, and professional and educational activities, IEEE and its members inspire individuals all over the world.

The IEEE has:

• There are more than 409,000 members in more than 160 countries, and more than 60% of them are not from the U.S.
• More than 125,000 students are members.
• Has 39 technical Societies and 7 Technical Councils that represent the wide range of technical interests of IEEE.

The IEEE Xplore® digital library has more than 5 million documents, and more than 15 million people download them each month.

How Does the IEEE Final Year Project in ECE Impact Your Career?

Students will have the opportunity to select projects from the IEEE portal, and they will gain many ideas for their final year projects. IEEE, as a world standard organization, nurtures, develops, and advances the development of global technologies. IEEE SA, as a leading developer of industry standards in a wide range of technologies, drives product functionality, capabilities, safety, and interoperability, transforming how people live, work, and communicate. IEEE standards lay the groundwork for a globally level playing field for innovation, while also protecting public safety, health, and well-being and contributing to a more sustainable future.

Final-year ECE students who completed projects in accordance with IEEE standards will be recognized in the ECE industry.

Top 10 IEEE Projects for ECE Final Year

1. IEEE-AI project – Cloud-Based Water Quality Monitoring Platform

2. IEEE-Automatic Face Recognition and Virtual Assistant through IoT and AI

The purpose of this elegant reflector is to make a person's life more comfortable, secure, refined, etc. A projected Elegant reflector identifies individuals based on voice command and identity verification. Individuals can retrieve real-time data by using voice command inputs and identity verification, and the elegant reflector can display real-time information such as period, day, weather forecasts, and news broadcasts whenever they require it.

In this project, we utilize intelligent mirrors, face recognition, and speech recognition. Face recognition algorithm that is eigenface-based. In this project, voice-activated software bots are being used to implement home technology. We can ask any question and receive an answer from Google Assistant. It is dense and thrifty.

3. R-PI-enabled AI-enabled Smart City IoT System utilising Edge Computing

Using Edge Computing, this research has created an artificial intelligence (AI)-enabled smart city IoT system. For the purpose of intelligent decision making and data processing, AI algorithms have been implemented in this research. The novelty of this work is the incorporation of Edge computing into IoT systems, which improves IoT system performance by reducing cloud load.

Wi-Fi protocol is used for data transmission at the network level. Raspberry–pi is utilised for edge server design. This project's primary objective is to prevent unanticipated pollution levels in air, water, etc., which are detrimental to human health and the environment.

Also included in this smart city application are City air management, traffic and transportation management, effective power utilization, and water pollution monitoring. And this monitoring is performed by a variety of sensors, including cameras, gas sensors, water quality sensors, and other sensors. We collect physiological data from the sensors' environment, store it in a database, and analyze it in order to make intelligent decisions. This information is then displayed on the website and communicated via SMTP.

4. Medical Waste IoT Monitoring System Based on Artificial Intelligence

In order to achieve "closed-loop management, fixed-point orientation, and whole-process traceability" of medical waste, the IOT monitoring system for medical waste is divided into three levels based on face recognition technology and the system engineering principle.

Hospital information monitoring center, professional transportation company information monitoring and medical waste treatment company for the first level monitoring information monitoring center, the municipal medical waste management information monitoring center for secondary monitor, provincial medical waste management information monitoring center for three-level monitoring, special is responsible for, layers of management, the framework is clear, and the problem has been resolved.

5. A Voice-Activated Internet of Things Home Automation System with Smoke and Fire Detection and Mitigation

Projects in the field of Internet of Things, which is coupled with Artificial Intelligence, are centered on the use of technologies to connect the world. This system was primarily controlled by the ESP32 IoT development board. The researchers designed this project to provide home automation in the form of smart lighting and switching, smoke and fire detection and mitigation systems, which will contribute to the reduction and management of disaster risk.

When smoke/gas was detected, The voice-activated home automation activated the exhaust fans, and when a fire was detected, it activated the water pumps. As long as the internet connection is stable, it was observed that home automation will function properly. On the other hand, smoke/gas and fire detection and mitigation can continue to be carried out without an internet connection. SMS notifications were responsive in addition to the web server's real-time responsiveness.

6. A Deep Learning and IoT-based Visually Impaired Assistant

India is home to approximately 40 million visually impaired people, which accounts for 20 percent of the world's blind population. In addition, over 90% of these individuals have limited or no access to the necessary assistive technologies. The paper proposes 'Smart Cap,' a vision-based first-person assistant designed to provide visually impaired Indians with a narrative of the world. The Smart Cap is a conversational agent that combines Internet of Things and Deep Learning and offers features such as face recognition, image captioning, text detection and recognition, and newspaper reading online.

7. Low-Cost SCADA System Based on ESP32, Raspberry Pi, Node-Red, and MQTT Protocols

Increasing energy costs and demand have prompted a number of organisations to seek intelligent methods of monitoring, controlling, and conserving energy. Intelligent automation can reduce costs while meeting energy demand. The residential, commercial, and industrial sectors can utilise Internet of Things (IoT) technologies to better manage energy consumption. This paper describes a cost-effective, open-source, and dependable Supervisory Control and Data Acquisition (SCADA) system for home monitoring and control systems.
The presented SCADA system utilizes analogue sensors, ESP32, Node-RED, and Message Queuing Telemetry Transport (MQTT) over local Wi-Fi to remotely control and access appliances. This system allows users to monitor conditions such as temperature, humidity, pressure, and light intensity in their homes. Consequently, users can remotely monitor devices such as lights, fans, and heating/cooling systems and make decisions based on sensor feedback.

8. RO's Waste Water Reuse and Water Management in Society Using IOT Automation

Smart sensors, including a heart rate sensor, a temperature sensor, a bomb detector, and a panic button, are attached to the proposed system, which will implement complete mobility via a personal server. The parameters gathered by the attached real-time sensors are sent to the processor for processing. In this application, the noise-free signal is an important metric.

This would be performed by edge computing solutions on a nearby personal server. The data will be transmitted wirelessly to the base station, which will be located far from the sensing location. Additionally, each soldier is equipped with an ESP32 module that enables them to communicate with the base station in the event of an injury.