Street Light Monitoring System

Street light is considered to be one of the vital sources of light used by the people for various purposes,this system consists of a light dependent resistor (LDR) and a light emitting diode (LED) to detect the light condition and the presence of a fault,the system also includes a PIC microcontroller, an LCD display, a relay, Nodemcu and a lamp

The PIC microcontroller will process the signals from the LDR and LED and send the data to the LCD display to indicate the status of the street light. The data is also sent to the website which will be used to send notifications of the light and it easy to maintain the streetlight.

WaterFootPrint

As part of the smart city program, numerous steps are made to enhance the quality of life for residents in certain cities. A smart system for monitoring water use would therefore be an effective way to support these endeavors. This management system assists in determining the precise amount of water utilized in each home, which is useful in establishing water rates based on water usage. This project not only responds to the urgent need for effective water level monitoring, but it also exemplifies how technology can support environmental sustainability and climate change resistance. Create a reliable water monitoring system that can precisely track how much water is used in the home each day. Make a report or user-friendly interface that gives homeowners comprehensible information about the patterns of their water usage.

One of the project's main strengths is its seamless connection to the cloud and user-friendly website. This feature enables remote monitoring of water levels and access to historical data, making it a valuable tool for users to optimize their water consumption, detect anomalies, and plan tank refills as needed.

ClickJacking

A serious and constantly-evolving threat to online security is clickjacking, which takes advantage of user interface flaws to trick people into inadvertently doing actions that jeopardise their security and privacy. Because of its adaptability and the shortcomings of traditional defences, clickjacking continues to be a persistent challenge even with the implementation of existing mitigation strategies like X-Frame-Options and Content Security Policy (CSP). As a response, this paper suggests a novel approach to stop clickjacking, concentrating on the creation of advanced detection algorithms and the implementation of dynamic monitoring systems.

Future research will concentrate on improving real-time monitoring systems for greater scalability and efficiency, expanding user education programmes to reach a larger audience, and improving detection algorithms to increase accuracy and decrease false positives. Future research projects will also heavily emphasise investigating cutting-edge technologies like artificial intelligence and machine learning for the detection and mitigation of clickjacking.

UNMASKING THE REAL

Deepfake technology poses a greater potential to erode trust in visual media, making it increasingly more challenging for individuals to discern between authentic and manipulated content, thereby undermining the credibility of digital information.

Our idea is to create a robust system verifying the authenticity of digital images with a special emphasis on detecting deepfake content, contributing to the integrity and trustworthiness of visual information.

Key Features:

Deepfake Detection Model
1.Flask-Powered Web Application
2.Forensic Techniques
3.Noise Analysis
4.Lighting Inconsistencies
5.Compression Artifacts

WheelWhiz

Wheelchair users face significant challenges when navigating public spaces due to a lack of accurate, accessible information on routes, buildings, and facilities. Most navigation apps don’t account for wheelchair-specific needs, such as avoiding stairs, narrow pathways, or inaccessible buildings, leaving users frustrated or stuck. Even though laws like the Americans with Disabilities Act (ADA) mandate accessibility, the actual user experience is often inconsistent, with poorly marked entrances, broken ramps, or malfunctioning elevators.

The core concept behind the app is to serve as an all-in-one solution for wheelchair users, helping them navigate cities and public areas with confidence. By leveraging real-time data and AI-powered features, the app provides detailed information on accessible routes, public restrooms, and nearby emergency services. In case of emergencies, the app connects users to nearby hospitals or health centres

VR Machines Lab

The core concept behind the app is to serve as an all-in-one solution for wheelchair users, helping them navigate cities and public areas with confidence. By leveraging real-time data and AI-powered features, the app provides detailed information on accessible routes, public restrooms, and nearby emergency services. In case of emergencies, the app connects users to nearby hospitals or health centres

The core concept behind the app is to serve as an all-in-one solution for wheelchair users, helping them navigate cities and public areas with confidence. By leveraging real-time data and AI-powered features, the app provides detailed information on accessible routes, public restrooms, and nearby emergency services. In case of emergencies, the app connects users to nearby hospitals or health centres