Volume 8 Issue 2
Demonstrating And Reproduction of Incriminating Features of Solar Motorized Eletric Automobile f Transmission Line
Author's Name: Mohd. Azharuddin bansari

Abstract—This work is aimed at modeling & Simulation of a distinct smart charging station for Electric Vehicles (EVs) that is suitable for DC quick EV charging while ensuring minimum stress on the power grid. Operation of the charging station is managed in such a way that it is either supplied by Photo Voltaic (PV) power or the power grid, it is also implemented for improving the stability of the grid during peak load hours. The PV interfaced DC/DC converter and grid interfaced DC/AC bidirectional converter share a DC bus. A smooth transition of one operating mode to another demonstrates the effectiveness of the employed control strategy. Modeling and control of the Charging are explained using PI Controller and are implemented in MATLAB Simulink. Simulations illustrate the feasible behavior of the charging station under all operating modes in terms of the Two-way interaction among PV & Electric Vehicle. It has been recognized that EVs bring new opportunities in terms of providing regulation services and consumption flexibility by varying the recharging power at a certain time instant. This dissertation work mainly focuses on electric vehicle charging based on solar and grid charging. Here I used one new tool for automation purpose which is called MATLAB embedded function from solar to grid and back. The dissertation also discusses the potential financial incentives required to inspire EV owners for active participation in the demand response mechanism.on towers.

Comparative Study Of Penetrable Asphalt Schemes Through Superior Stress On Absorbent Concrete
Author's Name: Dharendra Singh, Shilpa Agarwala

Abstract— One of the most effective and prevalent types of Sustainable Drainage Systems is permeable pavement systems. Permeable pavement systems allow effective management of surface water runoff and is an efficient method of improving water quality. Basic intention of Permeable pavement systems is to efficiently utilize the porous concrete in a constructive way so that it can be beneficial to society. The purpose of this review paper is to summarize the wide-range but diffuse works on permeable pavement systems (PPS) with special emphasis on one of its type i.e. pervious concrete. Additionally, our study deals with laboratory preparation & testing of pervious concrete and recommends future areas of research and development so as to provide stakeholders in storm water management with the critical information that is needed for the foster acceptance of permeable pavement systems as a viable alternative to the traditional systems.

VM Migration Energy in Cloud Virtulization Techniques
Author's Name: Mallesh Jakanur, Rohan, Sangamesh Herakal

Abstract— Energy efficiency has grown into a latest exploration area of virtualized cloud computing paradigm. The increase in the number and the size of the cloud data centers has propagated the need for energy efficiency. An extensively practiced technology in cloud computing is live virtual machine migration and is thus focused in this work to save energy. This paper proposes an energy-aware virtual machine migration technique for cloud computing. The proposed technique migrates the maximally loaded virtual machine to the least loaded active node while maintaining the performance and energy efficiency of the data centers. The efficacy of the proposed technique is exhibited by comparing it with other techniques using the CloudSim simulator. An enhancement in the average energy consumption of about 44.39 % has been attained by reducing an average of 72.34 % of migrations and saving 34.36 % of hosts, thereby, making the data center more energy-aware.

Implementation of Design And Production of Electronic Automtaic Find-Kart
Author's Name: R Krishan Tuli, Priyanka

Abstract— In Today with the growing population, the number of vehicles is growing drastically. This growth has led to massive increase in air pollution . Around the globe, automobile sector is the major contributor towards air pollution. Go-karting is a growing segment in the automobile sector. In order to control air pollution through this growing segment . This project aims towards designing of an electric kart which is environment friendly as it causes no pollution. Various subsystems of the vehicle i.e. Chassis, Steering, Brakes & Powertrain were designed and fabricated. The electric kart is motor and battery operated. The designs aimed towards a highly stable vehicle in order to maximize the power to weight ratio. Reliability, durability, safety & comfort were the key factors which were kept in mind while fabrication of the electric kart. The attempt is made to make a self generating electric power kart.

Observation of Modal Analysis of Shockwave Absorber Through Dissimilar Constituents
Author's Name: Suresh Jakanur, Mohan, Mangamesh

Abstract— This Shock absorber is a mechanical device designed to smooth out or damp shock impulse, and dissipate kinetic energy. In a vehicle, it reduces the effect of traveling over rough ground, leading to improved ride quality, and increase in comfort due to substantially reduced amplitude of disturbances. In this work suspension system is designed and a 3D model is created using CATIA V5 R21. The model is also changed by changing the thickness of the spring. Structural analysis and modal analysis are done on the shock absorber by varying different spring materials. Spring materials are Spring Steel, Phosphor bronze, Beryllium Copper and Titanium alloy. To validate the strength of the model, the structural analysis on the helical spring was done. The analysis is done by considering loads, bike weight, and single, double riding. Modal analysis is done to determine the displacements for different frequencies for number of modes. Finally comparison is done for different materials to verify best material for spring in Shock absorber. Modeling is done in CATIA and analysis is done in ANSYS.

Identifying Exhibiting of Crankshaft Via Racal Tool And Finite Element Analysis Using Analsys Software
Author's Name: Renkatakoti Reddy.G, B Marish Raj, P.Bhaskaran

Abstract— Crankshaft is the complex geometry in the Internal Combustion Engine with large volume production component. This converts the reciprocating motion of the piston in to a rotary motion. An attempt is made in this paper to study the Static structure analysis on a crankshaft. The modelling of the crankshaft is created by using Solidworks 16 Software. Finite element analysis (FEA) is uses to analysis variation of stress at critical locations of the crankshaft to use the ANSYS software. The results ofVon-misses stress on the crankshaft is 6.52Mpaand shear stress on the crankshaft is 3.367Mpa. The Theoretical results are obtained on von-misses stress is 10.99Mpa, shear stress is 2.9Mpa. Then approved of model is compared with the Theoretical and FEA results for Vonmisses stress and shear stress are within the limits.

Recital Training of Oxidation Constancy Test Rig By Using Coconut Biodiesel With The TBHQ Antioxidant
Author's Name: SR Andesh, Nallesh Makanur

Abstract— This paper presents The scope of the project is to produce a new oxidation stability test device for testing the biodiesel and make a good marketable product in low price when compare to other existing test devices. For fulfilling our objective, need to conduct experiment on test rig and comparing the results with standard PetroOXY test device. The vegetable oils, animal fats and their biodiesel suffer with the drawback of deterioration of its quality when it is in contact with oxygen. The present available methods of finding the oxidation stability of biodiesel are Rancimat test [EN 14214] method and Petroxy [ASTM 6751 – 07b] method. In this research project a new oxidation stability test rig is designed and fabricated by the reference of standard methods. The test procedure and initial conditions of our test rig is made similar to the Petroxy test by maintaining the constant temperature at 1400C and replace compressed air by oxygen. The Pongamia pinnata and coconut biodiesel is used for experiment; the same samples are tested in both our new test rig and standard Petroxy test device and compare the results. The TBHQ antioxidant is used here for enhancing the oxidation stability of the biodiesel.

Important Impact of Security Issues and typical Challenges In Hybrid Cloud Virtualization
Author's Name: Binay Kumar, Salsoor, Ayub Mohammed

Abstract— This paper presents Present day’s information technology organizations are faced with an increase in the challenge and convolution of improve their IT finances for the best potential shipment of service to inner and outer clients. Decrease infrastructure costs, establish IT management, and raise service shipment. The cloud based more than companies are maintained the ADP earnings work and upload unofficial data regular to the work contributor cloud environs. The hybrid cloud consists where the protect services contributor are responsibility for the infrastructure, security controls and security proficiency recommend by the cloud service. The cloud present provides service new technology to suitable secures the data and approach that occupy on their physical infrastructure. We are proposed in this paper present threats and fire wall of the service to maintain the combined member of staff and contract record with entry in approach control authority guidelines for a cluster and extensive advance in the cloud.

Artificial Intelligence Chatbot For Education
Author's Name: R. Ananya, SP. Bharath Kumar, Ch.Deekshith Reddy, B.V. Srikanth

Abstract— This paper presents AI chatbots are revolutionizing the education sector by offering constant, tailored support to students and teachers alike. They make learning accessible and adaptable, aiding in grasping intricate subjects and enhancing self-directed, inclusive education through personalized interaction. AI chatbots assist educators by automating routine tasks such as grading and scheduling, allowing teachers to concentrate on teaching and student growth. By connecting learners with essential resources, these chatbots significantly boost the effectiveness and engagement of modern education.

Transparent Identity Verification and Trust-Aware Hybrid Algorithms to Secure Social Networks and Recommender Systems Against Sybil and Shilling Attacks
Author's Name: R.Poornima @ Priyanka, P.Malathy ,P.Divya Bharathi

Abstract— Secure social networks are web-based platforms that allow individual users to create a public profile, add as many persons as they like to speak with, and view relationships inside the system. Many social networks are Internet-based and allow users to communicate online through features including rapid messaging, email, sharing images and videos, uploading user thoughts, and more. Attackers can readily compromise such social networks (e.g., Sybil attack). The Sybil attack is a type of security risk that arises when a compromised system is used to assume several identities. Peer-to-peer networks on a massive scale encounter security flaw in their calculation foundations. Utilizing the Robust Recommendation method, when the attacker is aware of the profiles of authenticated users, the Sybil attack, which impacts the program, fails. By combining face detection and identification algorithms with session management, the suggested methodology must be able to remove such limitations. Conversely, because collaborative filtering systems operate in an unfastened environment, they are extremely vulnerable to malicious raters who create profiles with incomplete ratings. Many attack-identifying algorithms have been developed in recent years to address the issue. The application is successfully secured by employing these techniques to eradicate such malicious profiles, which is the goal of Eliminating Shilling Attack.

AI Powered Interior Design: A Generative Approach to Room Styling based on Image Inputs
Author's Name: G.Balram, P.Sneha, P.Sahithi

Abstract— The rapid advancement of artificial intelligence has revolutionized various industries, including interior design. This paper presents an AI-integrated interior design generator that streamlines the design process by creating customized interior layouts based on user inputs. The system leverages Clerk for secure authentication, Replicate API for AI-powered image generation, and Neon database with Drizzle Studio for efficient data management. Built using Next.js and Tailwind CSS, the platform ensures a seamless user experience with responsive and dynamic interfaces. The project addresses the limitations of traditional design methods, offering personalized and visually appealing solutions in real-time. Users can select design preferences, and the AI generates high-quality interior images tailored to their requirements. This approach reduces design time, enhances creativity, and supports decision-making for both designers and homeowners. The paper discusses the system architecture, image generation process, and database management. Results demonstrate the model's accuracy and efficiency in generating diverse interior designs. User feedback indicates high satisfaction with design relevance and quality. This project contributes to the field of digital interior design by showcasing the potential of AI in enhancing creativity and productivity. Future work may explore the integration of advanced models and expanding design categories.

Improving The Properties Of Soil At Shallow Depths By Using Sodium Silicate Settlements
Author's Name: Suresh Tripathi, Harsha Patil, Shweta Mittal

Abstract— This paper presents - Soil is the basic foundation for any civil engineering structures. It is required to bear the loads without failure. In some places, soil may be weak which cannot resist the oncoming loads. In such cases soil stabilization is needed. Soil stabilization cannot explain as the alteration of soil properties by chemical or physical means in order to enhance the engineering quality of the soil. This report deals with the complete analysis of the improvement of soil properties and its stabilization using the sodium silicate. Various lab tests are conducted like liquid limit, plastic limit, standard proctor test etc.., and field tests like core cutter and sand replacement methods etc.., on soils to decide the properties and stiffness of them. The constructional activities in some particular areas often demand deep foundations because of poor engineering properties and the related problems arising from weak soil at shallow depths. The very low bearing capacity of the foundation bed causes shear failure and excessive settlements. Further, the highwater table and limited depth of the top sandy layer in these areas restrict the depth of foundation thereby further reducing the safe bearing capacity. This report discusses grouting as one of the possible solutions to the foundation problems by improving the properties of soil at shallow depths by using sodium silicate. Since 1945, various researchers have reported on the effectiveness of sodium silicate has a stabilizing admixture. Sometimes the silicate was used alone and some times in the combination with various other chemicals. Sodium silicate has to improve building materials more than a century. This study presents characterization of sodium silicate prepared from kankra kaolin.

Proposal and Advance Implementation of Lunar Liquid Boiler Using MultiPhase Change Material (MPCM)
Author's Name:Rathika Reddy, Jitendra Sharma, Mia Ul Haq

Abstract— This paper presents A Solar space heating system using Phase Change Material (PCM) is described in this paper. In this research, the effect of Phase Change Material (PCM) as storage medium on the performance of a solar water heater have been experimentally investigated. A type of Barium Hydroxide Octahydrate {(OH)2.8H2O} is used as PCM in spherical capsule as a storage material in the tank of solar water heater.

Outcome of Fictional Sustainability Revolution In The World of Fiction Movies
Author's Name:Sri Sita Rama Laxmi

Abstract— This paper presents Fiction is very fascinating to imagine the future, advanced societies, systems and spaces we would be living in. Looking at another side of the coin one can comprehend the troubles and wretchedness that the future would bring along with gratification and pleasure through fictional movies. The dystopian realm exemplified in works of fiction throws light on the issues of futuristic architecture and society. Most of these issues are the calculated projections of the present society. The progression of human mankind in science fiction movies has been described as driven by various kinds of innovation and change focusing on new technology, social systems, and forms. A broad genre of speculative fiction let us dream and highlight things that we take for granted in contemporary society. To head towards and understand, this research was throwing light on how are storytellers utilizing imagination and fiction for creativity and design? Why Fictional thinking is essential for a sustainable journey? How the sustainability practices were taken care of in Fictional movie making and how they may be utilized responsibly in the near future.

Intelligent Health Care System Online on Diabetes Prediction Using SVM and Naive Bayes
Author's Name:Ramkumar, Manoj Tiwari

Abstract— This paper presents Diabetes is common problem over the world. Many of us are facing this disease. In this disease, our blood sugar level get disturbed. So we are trying to build a tool that can help people to check whether they are suffering from it or not? It might have happened so many times that you or someone yours need doctors help immediately , but they are not available due to some reason. The health prediction system is an end user support and online consultation project. Here we propose a system that allows users to get instant guidance on their health issues through an intelligent health care system online. The system is fed with various symptoms and the disease associated with those systems. Diabetes is considered as one of the deadliest and chronic diseases which causes an increase in blood sugar. Many complications occur if diabetes remains untreated and unidentified. The tedious identifying process results in visiting of a patient to a diagnostic center and consulting doctor. But the rise in machine learning approaches solves this critical problem. The motive of this study is to design a model which can prognosticate the likelihood of diabetes in patients with maximum accuracy. Therefore three machine learning classification algorithms namely Decision Tree, SVM and Naive Bayes are used in this experiment to detect diabetes at an early stage. Experiments are performed on Pima Indians Diabetes Database (PIDD) which is sourced from UCI machine learning repository. The performances of all the three algorithms are evaluated on various measures like Precision, Accuracy, F-Measure, and Recall.

Micro-Mechanical Communications In A Complex Protect With Rooted Simulated Microcomputer Device
Author's Name:R Sagar, Abhinay Kumar, Shubham Jain

Abstract— This paper presents The study of the mechanical interaction among the host, interface, and a device embedded within a laminated composite is important. Embedding micro-sensors in composite laminates produces material discontinuity around the inclusions. This in turn produces stress concentrations at or near the inclusions. Both 2D plane strain and 3D finiteelement models are developed to analyze the stress/strain state surrounding the embedded micro-sensors within a unidirectional composite laminate. The objective of the present numerical effort is to take into account the observed resin-rich areas caused by embedment, and to determine their effects on the local stress field around the embedment and the corresponding potential failure modes.

Augmented Reality Methods in Mechanization Using Computer-generated 3Dimensional Representations
Author's Name:Ajay Kumar Sharma, Virendra Singh

Abstract— This paper presents Virtual 3D models are made utilizing a demonstrating programming and modules are utilized to convey from the demonstrating programming to the gadgets to be controlled. The virtual 3D models are three dimensional items that can be made and moved or turned in a virtual PC interface furthermore, as indicated by the development/pivot of the 3D model the genuine gadgets can be controlled. This paper displays an approach to bring enlarged reality in the field of robotization. By getting expanded reality the field of mechanization it expands the intuitiveness in controlling gadgets and machines. Another point of the venture is to obtain information from the gadgets and concurring adjust the 3D models as for the parameters of the gadgets. Different procedures in 3D displaying, PC designs and inserted frameworks are used to play out these tasks.

WF-OFDM System For The 5G And 5G Past Versatile Framework Waveform Plan
Author's Name:R Ramkumari, Manoranjani

Abstract— This paper presents - W-OFDM (window orthogonal frequency division multiplexing) is common and show practically identical execution. Each methodology has few points of interest and drawbacks together. The best OOB decrease execution can be appeared in FBMC framework. Be that as it may, FBMC framework is the most convoluted and can’t bolster the general M- design. Thus, it is critical to plan a novel OFDMbased waveform that has the comparative OOB control range to the FBMC and bolster the general M-QAM regulation too. The 2 approaches for the 5G new radio waveform configuration are the separating and windowing for the range proficiency improvement by lessening the OOB (out-of-band) control range. As sifting strategy, UFMC (universal filtered multicarrier), FBMC (filter bank multi- carrier) and f-OFDM (filtered orthogonal frequency division multiplexing) waveforms are the potential contender for another waveform for 5G framework. Another conceivable methodology is to utilize the windowing in the traditional CP-OFDM framework so as to diminish the OOB control range. In this paper, we like to propose a WF-OFDM System for the 5G and 5G past versatile framework waveform plan. This WF-OFDM framework utilizes a blend technique for the separating and windowing to get the cooperative energy impact, with the goal that the range effectiveness might be expanded by decreasing the OOB (out-of-band) control range.

Findings Related To The Association Of Pre-Test Knowledge Scores And The Socio Demographic Variables of The UG Students
Author's Name:Umakant Pandurang Rede, Manoj Kumar

Abstract— This paper presents A study to evaluate the effectiveness of Video Assisted Teaching Programme on phototherapy among undergraduate students in Lucknow city. Objectives :1 To assess the existing knowledge of undergraduate students regarding Phototherapy.2To assess the effectiveness of VATP among under graduate students regarding phototherapy.3 To find the association between pre-test knowledge of UG students and selected demographic variables. The research design for the present study is pre-experimental one group pre-test post-test design. Findings related to the association of pre-test knowledge scores and the socio demographic variables of the UG students revealed that there were no significant association between the gender of UG students place of residence, type of family religion and pre-test knowledge scores.The given Video Assisted Teaching Programme was effective.

Touchless Control System for Assisting Physically Disabled Person
Author's Name: G.Rajasekhar, Ghanta Harsha Vardhan, Jhade Sathvika, Karne Brajesh Rahul

Abstract— This paper presents a touchless control system designed to assist physically disabled individuals in interacting with computers and smart devices using facial expressions and head movements. The system utilizes Media Pipe Face Mesh, OpenCV, and PyAutoGUI to track facial gestures and translate them into cursor movements, clicks, and scrolling actions. The system is implemented as a web-based application using Flask, providing real-time feedback. This touchless interface significantly enhances accessibility for users with motor impairments, offering a seamless and efficient alternative to traditional input devices.

Observation on obtain infinitely many Pythagorean triangles
Author's Name:B.Aengare, A.Ghosemare

Abstract— This paper presents The binary quadratic equation 11 1 2 2 y  x  is analyzed for its distinct integer solutions and we obtain infinitely many Pythagorean triangles. A few interesting relations among the sides are also given.Keywords: The binary quadratic equation, Pell equation,Pythagorean triangles, Integer Solutions.

Comparison investigates the behavior of elevated circular water tanks and intze water tanks Spectrum Analysis on varying slopes
Author's Name:Suresh Singh , Dhruv Choudhary

Abstract— This paper presents The present study investigates the behavior of elevated circular water tanks and intze water tanks by Response Spectrum Analysis on varying slopes. It is carried out by considering various parameters like water storage capacity and staging height which are constant, various types of staging arrangement and variation in the ground slope. By intercombining each of these parameters 10 models of tank were created. All tank models have their locality in earthquake zone III. Dynamic response of elevated water tanks is hard to define, as the behavior of tank is unpredictable. Dynamic analysis of liquid storage tank is a complex problem involving water- structure interaction. Based on numerous analytical, numerical and experimental studies, simple etabs models of tank- liquid system have been developed to calculate the hydrodynamic forces. During the earthquake, water contained in the tank exerts forces on tank wall as well as bottom of the tank. These hydrodynamic forces should consider in the analysis in addition to hydrostatic forces.

Classification of Grades Of Astrocytoma In MRI Using Deep Neural Networks
Author's Name: D.Ramana Kumar, D.Madhav, T.Santhosh, S.Srilekha

Abstract— This study introduces a deep learning-based approach for classifying astrocytoma grades using MRI scans. Astrocytoma, a type of brain tumor, varies in severity, making accurate grading essential for effective treatment. Traditional diagnosis relies on manual MRI interpretation, which can be subjective and time-consuming. To address this, we implement a Convolutional Neural Network (CNN) to automate tumor classification, improving precision and efficiency. The model is trained on a dataset of MRI images and compared with conventional methods like Support Vector Machines (SVM) and Random Forest (RF). Experimental findings reveal that CNN significantly enhances accuracy, sensitivity, and specificity. This approach reduces reliance on manual diagnosis and contributes to AI-driven advancements in medical imaging.

Performance of the Diesel Fuel Injection system of TATA SFC
Author's Name:M.S. Nidhya, G. Jansi

Abstract— This paper presents we mainly focus on change in performance of the diesel fuel injection system of TATA SFC 407. Mainly there are two types of pump are use in TATA SFC 407.They are1) In line pump and 2) VE pump. In this paper we are considering In-line Pump having pump Number F002A0Z160 and governor number RSV/300/1600A0C1181L. The engine of TATA SFC 407 consists of 4-cylinder pump and 4 injectors. The injector has multi-hole which fire the fuel in the cylinder. In this paper we will check the fuel cut-off of the pump and discharge pressure of the injector according to diameter size of the plunger use in the fuel pump and effect of change in diameter of plunger on fuel cut-off and discharge pressure.

SMART MENTORING
Author's Name: J.Manikantha, T.Ramsai, P.Bhavani

Abstract— This paper presents Mentoring Academy is a program which aims to integrate students of the Instituto Politécnico de Bragança in the academy through peer mentoring and peer tutoring. This program needed an application that permits its execution. Motivated by this demand, we aimed at proposing a web application that complies with the Mentoring Academy requirements. The system requirements were defined together with the program stakeholders. Based on the literature review, we opted for the technologies ASP.NET Core and MySQL, for the backend, and Angular 6, for the frontend. Subsequently, the system architecture was planned. SCRUM methodology was used in the application development, with biweekly meetings with the stakeholders to evaluate what was done and to define the efforts for the following fortnight. Eighteen features were developed and four were presented in this paper. Finally, the system was deployed on a Linux server provided by the Instituto Politécnico de Bragança, allowing it to be tested and later used by the Mentoring Academy users. Approximately 61% of the functional requirements defined in the system modeling were developed (23 out of 38) and some functionalities not previously defined were also implemented. The units tests developed for terms of components generation and HTTP request services, both exception-free. That said, the system provides students’ integration, permitting them to have socio-academic inclusion and support in curricular units.

PERSONAL/PRIVATE CLOUD STORAGE USING RASPBERRY PI
Author's Name:G. Balram, V. Mythry, G. Vasudeva and A. Dattu

Abstract— Cloud storage has become an essential part of modern digital life, yet existing cloud services pose privacy risks, impose storage limitations, and require recurring payments for additional space. This project aims to develop a secure, cost-effective personal cloud storage system using a Raspberry Pi and Next cloud to provide users with full control over their data. The proposed system will enable users to store, manage, and access files remotely without relying on third-party cloud providers. The Raspberry Pi will act as a mini cloud server, integrated with an external hard drive for expandable storage. To address security concerns, the system will incorporate Next cloud encryption to protect stored data and a real-time notification system via the LINE app to alert users of unauthorized access or file modifications. The implementation involves setting up a Raspberry Pi with Next cloud, configuring an external storage device, and ensuring secure remote access through encrypted connections. Key applications include file sharing, data backup, multimedia streaming, and remote file management from any device. This project offers an affordable and customizable cloud storage alternative, empowering users with enhanced security, privacy, and flexibility over their digital data.

Healthcare information management utilizing cloud computing and Android OS
Author's Name: Jayendra kumar, J.Revanth kumar, K. Mukesh, R. Manikanth

Abstract— Cloud computing supports a variety of platforms, systems, and applications and offers functionality for distributed, ubiquitous, and pervasive information data management. In this work, a mobile system that uses cloud computing to store, update, and retrieve electronic health data is implemented. The mobile application, which supports JPEG2000 coding and the DICOM format, manages patient health records and medical images and was created with Google's Android operating system. Amazon's S3 cloud service has been used to assess the developed system. This article provides an overview of the implementation process and shows the system's first operational outcomes

Decentralized and Secure E-Voting: A Blockchain-Based Approach for Transparent Elections
Author's Name: Poluju Jayendra Chary, Neela Pavan Sai, Kada Manideep Kumar

Abstract— Electronic voting (e-voting) systems can enhance electoral processes with improved accessibility, transparency, and efficiency. Traditional e-voting systems are plagued with security vulnerabilities, voter anonymity, and tampering. The current study proposes a blockchain-based e- voting system tailored to deliver secure, transparent, and tamper-proof elections. Employing blockchain technology, smart contracts, and cryptographic techniques, the suggested system enhances the voting process integrity with a decentralized, immutable, and verifiable vote record[3]. Double voting can be easily eliminated, voters are anonymous, and real-time verification of votes is possible without loss of privacy. Deployed as Ethereum smart contracts, the solution makes centralized electoral authorities redundant while ensuring trust in the electoral process[5]. Performance evaluation demonstrates the feasibility of the system with its security, scalability, and efficiency. This study extends the advancement of secure digital democracy with a beneficial solution for prospective future electoral systems.

Mobile Application for Enhanced Task Management system
Author's Name: G.Nithin, T.Shiva Raju, V.Neha Sri, A.Shivaprasan

Abstract— Most people such as working professionals, students, and house makers often find lack of your time and time management as problems for successful task accomplishment. One among the key reasons for failure in task accomplishment is inefficient planning of the tasks. It's vital to look for a tool that can assist in schedule and manage the time, meetings, and appointments. Why this project is important work stems from the necessity of leveraging a single React Native Application that may be accustomed control many of the activities such as tasks, appointments and meetings for people and also for teams and tiny companies. This application uses Flow Time methodology in handling activities. This program will reduce the purchasing costs incurred through different uses.