This research project focuses on the development and implementation of an advanced automated system designed for predicting Indian Premier League (IPL) match scores using machine learning techniques, specifically employing the Random Forest algorithm. The objective is to streamline and enhance score...

Diabetes is a chronic metabolic disorder caused by insulin resistance or inadequate insulin production, leading to severe complications such as cardiovascular diseases, kidney failure, neuropathy, and vision impairment. Factors such as sedentary lifestyles, poor dietary habits, aging, and genetic predisposition...

The research presents a Deep Learning and Multiclass SVM-based approach to locate missing children. Using the FGNET dataset, a CNN model is trained to analyse new child photos uploaded by users, comparing them against a database of missing children. A CNN model trained on the FGNET dataset analyses uploaded...

Healthcare predictive modeling has been transformed by combining generative artificial intelligence (Gen AI) and machine learning (ML), which provide complex computational frameworks for precise disease prognosis. Leveraging Gen AI’s ability to synthesize complex, high-dimensional medical data and ML’s...

The growing concerns about urbanization and environmental troubles make waste management a crucial hassle worldwide. Conventional garbage segregation is bulky, much less efficient, and at risk of mistake, which means there is a dire need for present day high-tech automated trash sorting technology. Recent...

Recipe generation from food images represents a complicated multimodal challenge that needs the system to both identify visual components and realize cooking process sequences. A system composed of three principal procedures starts with ingredient detection followed by instruction sequence creation then...

The current recruitment process suffers from inconsistent interview experiences, uneven candidate evaluation, and a time-consuming process of administration of manual assessments. To resolve these problems, we develop an AI based Interview Simulator that normalizes the interview procedure, making it...

Drug discovery is a challenging, expensive, and time-intensive process involving several critical stages to identify new drug for a particular disease. Among these stages, Lead Identification and Lead Optimization are especially vital. Due to the complexity and resource requirements of the drug development...

With the increasing reliance on virtual communication, optimizing the efficiency of online meetings has become essential. This study presents a novel system that leverages Natural Language Processing (NLP) techniques to enhance meeting data management and accessibility. The proposed solution integrates...

The increased volume of online messages has made it difficult for users to efficiently process and extract relevant information. This paper presents a flask-based message summary system, allowing users to obtain accurate summary of news articles and simultaneously receive core meaning and context. The...

Gestura aims to change the way people interact with technology by employing a control system that combines gesture recognition, speech commands, and voice control to create a fully intuitive interface. OpenCV and Mediapipe offer computer vision and gesture tracking while Vosk provides real time speech...

The recruitment industry is evolving rapidly with the integration of artificial intelligence (AI) to streamline hiring processes. This paper presents an AI-Based Talent Management System that enhances recruitment and candidate matching by leveraging machine learning, natural language processing (NLP),...

The growing need for secure and decentralized file sharing systems has highlighted the drawbacks of many centralized storage solutions, most of which lack security, transparency, and user control. This paper presents Block share, a decentralized file storage and sharing system that leverages blockchain...

The increased volume of online messages has made it difficult for users to efficiently process and extract relevant information. This paper presents a flask-based message summary system, allowing users to obtain accurate summary of news articles and simultaneously receive core meaning and context. The...

The rapid rise of e-commerce is making price fluctuations a major challenge to consumers seeking to make informed purchasing decisions. In this study, we propose a machine learning-based laptop price prediction model, in conjunction with web scraping, that collects real-time price data from multiple...

In the current digital market, what buyers and sellers ought to know is the cost of consumer electronics, particularly televisions. With online retailing getting bigger and bigger, data available on the web can be utilized for finding pricing trends, customer preferences, and market dynamics. This study...

Databases play a vital role in organizing and retrieving the information we rely on every day. The evolution of computing has elevated the importance of databases in efficiently storing and managing information. Typically, users need to understand SQL—a query language—to fetch data from these systems....

Fetal brain abnormality detection is a vital task in prenatal care, requiring the precise and efficient analysis of medical imaging data to ensure early diagnosis and intervention. The study introduces an advanced classification framework that synergizes Convolutional Neural Network (CNN), extraction...

Vehicular Ad Hoc Networks (VANET) support real-time vehicle-to-vehicle and vehicle-to-infrastructure communication, but DDoS attacks have a significant effect on network availability, resulting in high packet loss and interference with emergency systems. Although ML-based Intrusion Detection Systems...

In order to get around the drawbacks of conventional Learning Management Systems (LMS), the article suggests an advanced e-learning platform that integrates Blockchain technology with Multi-Factor Authentication (MFA). Because they rely on centralized data storage, current LMS platforms are susceptible...

Traditional note-taking methods lack flexibility and fail to address modern users’ dynamic needs. This paper presents an AI-driven interactive note-taking platform that leverages Gemini AI for intelligent content generation and Mermaid for visualizations. The platform supports multi-format inputs such...

The rapid growth of technology has highlighted the increasing need for strong problem-solving abilities and algorithmic thinking in both academic and professional settings. As a result, competitive programming, coding challenges, and hackathons have become invaluable tools for developing and assessing...

Artificial Intelligence is a mechanical discipline that has now become inseparable in the modern era. AI has made automation possible in different applications ranging from remote controls to autonomous vehicles, so that complicated sequences of tasks can now become feasible. This project discusses quick...

The rapid technological progress within the discipline of medicine has significantly improved the diagnostic method for various diseases, providing crucial support to healthcare professionals and ultimately saving lives. Advanced technological tools are now being harnessed by health experts to make informed...

Communication networks frequently malfunction during dis- asters, making emergency response and recovery operations more difficult. Unmanned Aerial Vehicles (UAVs) provide a quick fix by reestablishing communication via Bluetooth, Wi-Fi hotspots, mesh networks, and LTE relays. They are essential in catastrophe...

Both disease detection using Wireless Sensor Networks (WSN) and the health care industry may be greatly augmented with the employment of hybrid optimization algorithms. Herein, the current research propounds a novel hybrid optimization approach by combining PSO with GSO and SFG. The suggested method...

RFID technology is now an integral part of most industries including healthcare, supply chain management, and security systems, providing effective asset tracking and real-time data management. While RFID technology is widely utilized, current RFID systems are susceptible to critical security threats...

The application of Vehicular Ad-hoc Networks (VANETs) in underwater environments has posed significant security challenges, especially in the physical layer. This paper presents a detailed analysis of the security threats of Underwater VANETs (UVANETs) jamming, eavesdropping, spoofing, wormhole, and...

In this paper, we assess Meta Quest ecosystem’s current security by exposing the peer reviewed research gap since 2021. Our multi layered analysis framework classifies vulnerabilities successful at hardware physical, middleware runtime, application and network communication level. Through these findings...

Digital health solutions have made it possible to achieve enhanced patient care and medication administration. To further increase the accessibility of healthcare, this paper, presents the Medical Information Tracker, an AI-based system designed to assist the patient with medication reminders, identification...

Cognitive processes in decision-making have long been a subject of interest in cognitive science, psychology, and neuroscience. Decision-making involves several psychological mechanisms, such as judgment, perception, memory, and attention. This paper explores the cognitive models used to understand decision-making...

Students may find it difficult to make decisions about their academic and career paths beyond Class 10. What’s next-an education technology platform that helps students explore options that match their skills, interest, aptitude, such as streams like Science, Commerce, and Arts, vocational courses, entrance...

Smart parking systems are a new avenue to address urban parking challenges while maximizing the efficiency of space usage and reducing traffic congestion. This paper performs a systematic literary review (SLR) regarding on-going advancement of smart parking systems, which includes technology-enabled...

With the advancement of technology, industries across various sectors continue to innovate and scale. In the Real Estate industry, property technologies (PropTech) have driven substantial progress and growth. However, Real Estate markets in developing nations face persistent challenges in areas such...

Traditional trip planning techniques are laborious, it involves large human research, one need to compare information regarding the trip from all resources of web or applications, we must book the seats for traveling in advance regardless of our traveling dates, attractions, and transportation. These...

After finishing their senior secondary studies, a majority of students face confusion about what to choose as a career path and take an ample amount of time to decide on it. Traditional counseling methods fail to provide personalized, data-driven recommendations. So many uncertainties and so much more...

This paper presents Traffic, a real-time intelligent traffic signal monitoring and route optimization system. The application integrates live traffic signal data with route optimization algorithms to provide efficient navigation for commuters. The solution is built using a React frontend, Node.js backend,...

The VANETs have the ability to significantly increase road safety and traffic efficiency through real-time data interchange. Their distinct features, such as erratic connectivity, changeable network topologies, and susceptibility to security risks, present significant difficulties, nevertheless. For...

Enhancing privacy and verification of Aadhaar data The collection and handling of personal data is controlled through a structured methodology in a Web-based platform. There are two modes of Aadhaar data registration i. e. OCR based and manual entry where user can enter or enter Aadhaar details securely....

Early detection and treatment planning are greatly aided by the use of MRI scans for brain tumor diagnosis. Convolutional Neural Networks (CNNs) and traditional machine learning frequently suffer from feature extraction constraints, which results in less than ideal classification performance. Using transfer...

Wireless Multimedia Sensor Network (WMSN) is one of sensor-based environments that involved group of multimedia sensors for gathering data to deployed areas. To improve energyproficiency in the network clustering method is used in target tracking. The present techniques make use of recovery method to...

Due to their low cost, small size, and ease of production, microstrip patch antennas are important in wireless communication. The employment of microstrip antennas in high-frequency, high-speed data communication applications has led to a rise in their usage. Microstrip antennas are increasingly used...

Microstrip patch antenna’s straightforward design, affordability, and portability make them popular in wireless applications. These antennas are increasingly being replaced with Meta materials, which are typically constructed of materials like FR4 and Rogers RT duroid. Because of their special qualities,...

This work represents the Development and realization on 3-bit Vedic Arithmetic Multiplier anchored in MAC Unit in FinFET Technology. Nowadays for designing any Integrated Circuit, Delay and power should be low to make IC more advantageous. We opted for FinFET Technology because of its advantages over...

The main goal of this project is to create an innovative dustbin that promotes cleanliness and eco friendliness in line with the “Swachh Bharat Mission”. Taking advantage of advancing technologies, we are designing a smart dustbin using Arduino, a microcontroller- based system equipped with ultrasonic...

This device aims to develop a robust communication system capable of transmitting messages in black spot areas where traditional mobile signals are unavailable. By utilizing LoRa (Long Range) technology for long-distance communication and GSM for message transmission to network coverage areas, the system...

Geofencing-enabled child safety monitoring devices provide a cutting-edge way to continuously check on kids’ wellbeing. By combining GPS tracking and geofencing, these gadgets enable parents or guardians to create virtual limits, or geofences, around particular locations, such parks, schools, or residences....

In transceivers, the main amplifier is the low-noise amplifier. It would be impossible to have a communication system without a low-noise amplifier (LNA). There are several techniques to optimize these LNAs, and they are available in a variety of formats. Achieving a low noise number in the current implementation...

The proposed system presents an automated vehicle detection and identification system using Arduino UNO microcontroller, infrared (IR) sensors, and an RFID reader. With traffic congestion projected to increase by 50% over the next decade, efficient management solutions are essential. This system employs...

Motorcycle riders face numerous risks, including as collisions, reckless driving, and inclement weather. The objective of this project is to develop an Intelligence Helmets Technology which will improve their safety and fulfill the legal requirements. Using a Raspberry Pi and sensors, this helmet will...

The development and design of an effective, small-size self-diplexing antenna using Microstrip Patch Technology are given in this paper. It is proposed to provide increased isolation, gain, frequency ratio, and miniaturization to meet the demands of modern wireless communication systems. Apart from achieving...

Advanced safety measures are essential due to the high frequency of motorcycle accidents, particularly those that involve alcohol. This proposal introduces a two-stage approach for comprehensive alcohol detection and ignition control. The initial stage involves integrating a MQ-3 alcohol sensor with...

This work introduces an optimized hardware accelerator for Binary Ring-LWE-based cryptographic operations, designed to improve performance, security, and scalability. The architecture utilizes Carry Look ahead Adders (CLA) for faster modular arithmetic, AND-accumulator logic for efficient multiplication,...

Vehicles in IoV networks share data, but network congestion, unpredictable traffic, and resource limits create problems. Managing blockchain nodes and VNF placement in real-time is difficult. This study proposes ABV-IoV, a framework that allocates blockchain nodes and VNFs dynamically, considering traffic...

For wireless communications, the 2.4 GHz Industrial, Scientific, and Medical (ISM) band is frequently utilized due to its global availability and unlicensed nature. Antenna designed for this band play a crucial role in ensuring signal transmission and reception. Antennas operating in the 2.4 GHz ISM...

This paper presents a real-time sign language translator that converts sign gestures into speech and text to facilitate interactive communication. It employs Media Pipe Tracking to detect 21 major landmarks and Open CV for processing gestures. An MLP classifier with deep learning features is used for...

Intelligent wearable using machine learning IoT solutions are developing quickly to track and control healthcare and physical activity. The fog-centric, wireless, real-time smart wearable IoT framework for ubiquitous fitness and health analysis in a smart gym setting isthe primary focus of this study....

This antenna design makes use of precisely positioned slots inside a special microstrip construction to assist in precisely controlling various frequency bands. This approach enables the antenna to function effectively at many frequencies, which makes it perfect for technologies such as satellite communications,...

The design and simulation of a small quad-band microstrip antenna for WLAN (2.4 GHz and 5.2 GHz) and WiMAX (3.5 GHz and 5.8 GHz) applications are shown in this work. The antenna may achieve four resonant frequencies thanks to its rectangular patch, two symmetrical L-shaped stubs, and defective ground...

Road safety is one of the major concerns of this century, as a lot of injuries occur due to the non -compliance of wearing helmets while riding motorcycles. In response to this, we have decided to design and complete an AI Powered Safety System that attempts to do two things at the same time. This system...

Sign language bridges communication gaps, enabling hearing impaired people to understand and connect among themselves. Sign language recognition (SLR) is an automated algorithm that translates hand gestures from hearing impaired into text for facilitating interactions with normal people. In recent years...

This paper presents the design and implementation of a 17 DOF humanoid robot for rescue and disaster management operations. This innovative robot is equipped with 17 DOF (Degrees of Freedom), providing it with flexibility to replicate various human movements and capable of navigating challenging terrains,...

BIST (Built-in Self-test) modules are an intrinsic part of many applications like microprocessors, micro controllers, multi-processor system and multicore system. The problems in different memory systems affected by stuck-at faults cannot be solved using the standard Built-In Self-Test (BIST) modules....

In order to improve the isolation, diversity, and efficiency of a specially designed MIMO antenna for 5G-NR FR-1 Bands N78/77/48, this study aims to optimize the previously listed characteristics. The dielectric substance Rt/duroid is now being used in place of Rogers RO3003. 5870, whose dielectric constant...

As in order to automate pet feeding, this project describes the design and execution of an ESP32 board-based IoT-based smart feeder. The system includes a load cell with a HX711 amplifier module to precisely measure food quantities up to 1 kg, a motor that uses servos (SG90 type) for food accuracy delivery,...

The design and analysis of an Ultra-Wideband (UWB) microstrip patch antenna with a modified inset feed and a semi-circular slot that is optimized for wireless communication are investigated in this research. With a large bandwidth spanning from 1.7 GHz to 9.69 GHz and resonance at 4 GHz, the suggested...

Managing money wisely is key to financial success, yet most expense trackers only help with budgeting, leaving out the bigger picture your assets and debts. That’s where SpendWise comes in. SpendWise is a smart expense tracker designed to help users manage both cash and online expenses while keeping...

Water control soil moisture AFM (Arduino): There are agricultural watering systems on an automatic microcontroller or a simple system for monitoring the humidity that will switch a small electric pump on when there is dry; it can be turned ON and then OFF itself, if necessary, after measuring dry. Creates...

This paper introduces a compact, dual-band antenna for critical biomedical imaging and satellite communication applications. The antenna is designed to be extremely efficient at two primary frequency bands: 2.27 GHz – 2.47 GHz, which is particularly optimized for biomedical applications like microwave...

The increasing demand for high-performance, low-power digital systems has highlighted the need for more efficient arithmetic units, particularly adders, which are vital components in processors and various digital circuits. Traditional adder designs, like ripple-carry and Ling adders, face challenges...

This project involves the design of a dual-band microstrip patch antenna for IoT-based patient monitoring. The designed antenna is for operation at 2.4 GHz and 5.8 GHz so that there is efficient wireless communication to monitor the patients in real-time. A PIN diode is used to enable single-band to...

The Internet of Things (IoT) represents a paradigm shift in the way data is generated, transmitted, and utilized. The inclusion of IoT technologies in different sectors has resulted in large amounts of data, requiring advanced data analytics approaches to derive useful insights. This paper presents a...

Autonomous robotic systems have gained significant attention due to their potential applications in industrial automation, surveillance, logistics, and assistive technologies. This paper presents an Intelligent Robotic System that integrates multiple AI-driven techniques, including You Only Look Once...

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, necessitating advanced diagnostic tools that provide high accuracy and efficiency. This paper introduces a novel framework, the “Gorilla Troops Optimization-based Convolutional Neural Network (GTO-CNN) for Lung Cancer...

Human-following mobile robots have gained significant attention in robotics research due to their applications in assistance, surveillance, and industrial automation. This paper presents an embedded-based human-following mobile robot that leverages an RGB-D camera and deep learning-based human detection...

The rapid evolution of 6G IoT networks demands innovative solutions for energy efficiency, security, and intelligent automation. This paper proposes an AI-driven energy-efficient 6G IoT system integrating TinyML-powered IoT devices, edge computing, blockchain security, and digital twin optimization to...

This paper presents the design and implementation of a portable ventilation system with variable pressure per minute, leveraging artificial intelligence for precise respiratory support. The system incorporates sensors such as pressure sensors, flow sensors, and a pulse oximeter (MAX30100) to monitor...

This paper presents the Optimized Design and Performance Analysis of a Graded Impedance Microstrip Low-Pass Filter for 6 GHz microwave applications. The filter is designed using Computer Simulation Technology software and follows a Butterworth response, ensuring a smooth passband with a sharp roll-off....

The antenna is fabricated on a bendy cotton textile substrate with universal dimensions of 45 × 45 × 1.5 mm3, making it suitable for on-body packages. A square microstrip patch with strategically positioned slots is applied to acquire resonance at 2.45GHz. The measured mirrored image coefficient (S₁₁)...

Potholes present a major challenge to roadway infrastructure, leading to vehicle damage, accidents, and expensive maintenance costs. Conventional approaches to pothole identification and repair are labor-intensive, time-consuming, and prone to errors. The Road Mate initiative aims to create and implement...

The project is about creating an Arduino based system for tracking food intake that effectively monitors food intake through a mix of hardware and IoT technology. At the center of the system is an Arduino UNO, with a load cell for accurate weight measurement of food, push buttons for user inputs, an...

This work provides the design and analysis of a 1x2 slot-loaded array antenna operating in the 70GHz millimeter-wave(mm Wave)band, aimed at high frequency wireless communication applications. The two radiating parts that make up the suggested antenna have slots positioned carefully to improve radiation...

The development of antennas that will function more effectively at higher frequencies is necessary as wireless communication technologies progress toward the next generation, 6G. The goal of this project was to create and improve an antenna system that is suitable for 6G while taking high-frequency communication...

The use of liquefied petroleum gas (LPG) cylinders in household settings is very dangerous. These objects may cause serious harm. Unidentified and poorly managed LPG gas leaks in kitchens cause most home fires and explosions. Regarding the consequences of the hazards posed by LPG, several serious mishaps...

In order to provide cutting-edge fiber optic access straight to homes, this project focuses on designing a Fiber-to-the-Home (FTTH) network architecture. Building a thorough and effective network that improves user experience and meets the rising demand for high-speed internet services is the main goal....

The increasing frequency of pipeline breaches across sectors necessitates the development of more accurate and effective leak detection technologies. Because pipeline leaks have increased. The economy and ecology may suffer if traditional localization and identification techniques don’t work. By using...

The External Attack Surface Management (EASM) in strengthening cybersecurity defenses is covered in the cyber security-enhanced web application. It draws attention to how the attack surface is dynamic and affected by various elements, including network infrastructure, web applications, and third-party...

Many theories concerning radar polarimetry and polarimetric synthetic aperture radar (PolSAR) processing techniques have been established. Nevertheless, most of the SAR photographs are not fully polarimetric (full-pol). This paper suggests radar image colorization as a feasible way of reconstructing...

The approximate full adder (FA) and subtractor of about 8 transistors each with small areas respectively. The FA and subtractor make very few errors, three errors in the FA and two errors in the subtractor, so they are adequate for approximate computing applications. In order to achieve increased speed,...

In modern electronic systems, the growing demand for higher information density and faster processing speeds requires advanced logic technologies. So multi-valued logic (MVL) introduces, it serves as alternative to binary logic schemes. The paper explores the new proposed novel circuit designs including...

Autonomous mobile robots (AMRs) require efficient real-time processing capabilities to navigate dynamic environments. Traditional processors often face challenges in meeting the power and performance demands of AI-based decision-making. This paper presents the design and implementation of an FPGA-based...

The recent growth of video content has made it difficult to quickly summarize useful information. Manual summarizing is slow and infeasible to scale, and traditional approaches may produce unclear summaries and be inferior to deep learning approaches applied to translation or voice synthesis. The proposed...

To significantly enhance energy efficiency in sequential digital circuits, this project will develop an ultralow power true single-phase clocked (TSPC) flip-flop using a novel 25-transistor design, expandable to 29 transistors with a reset function. By eliminating redundant charge and discharge cycles,...

This project deals with monitoring a patient’s vital indicators in real time, such as their respiratory and heart rates, and sending out alarms when aberrant readings are found. The system is appropriate for a range of healthcare applications because it is affordable and simple to set up. The breathing...

High-speed and dependable data transfer systems are required by the increasing need for effective embedded system communication. A commonly used synchronous protocol enabling smooth communication among microcontrollers, memory devices, and peripheral components, the Serial Peripheral Interface (SPI)...

An IoT-based bike transportation safety system aims to enhance the safety and security of rider by leveraging advanced Internet of Things (IoT) technologies. The system incorporates various sensors and devices that monitor critical aspects such as bike condition, rider health, and environmental factors....

In this project, The Vehicle Theft Control System (VTCS) utilizing engine measuring technique is a novel approach aimed at enhancing vehicle security by detecting unauthorized access and preventing theft. This system employs advanced engine measurement technology to monitor and analyze specific parameters,...

Hydroponics is a soilless method of growing plants, has become popular due to its advantages over traditional soil-based agriculture nowadays. To minimize human intervention and no usage of land, we propose the design and development of an automated hydroponics system leveraging Internet of Things (IoT)...

Fog computing acts as a vital link between cloud and edge devices, providing low-latency, high-bandwidth, and context-aware services. As the demand for real-time processing increases in IoT, 5G, and AI-enhanced applications, it responds to the drawbacks of centralized cloud models. This document presents...

Fog computing is quickly becoming a game changer in healthcare by addressing some of the limitations of traditional cloud systems. Processes data locally, right at the network’s edge, which means it can reduce delays, better manage bandwidth, and improve how quickly healthcare systems can respond in...