E-Voting with Hybrid Encryption RSA Algorithm

E-voting system based on and improved from our previous work .E-voting system, referred to as Enhanced note is enhanced with a new protocol design and watchdog hardware device to ensure voter confidentiality and voting accuracy. The watchdog device records all voting transactions to prevent voter frauds.The RSA cryptography algorithm ensures that votes casted are secured, thus maintaining the privacy of votes.The system is such that when the votes are cast on the nodes, the RSA technique encrypts the vote that is sent to the server system using both node and vote identity number.

Online Campus Selection Process

The Present digital and technological era has facilitated the college campus recruitment process towards a manifestation of a vibrant shift in new systems of workforce engagements. The processes like gathering and compilation of information, filing of records, and all data related administrative work are done electronically, and therefore, paperwork is considerably diminished in the new model. Significantly, very less physical campus space is utilized for interview processes, and overall, consumes minimal time as compared with more traditional recruiting methods.And the super process excellence techniques is applied in the corporate with renewed focus on quality, even people recruiting has also been structured as a online flow system for steady results.

Personality Prediction using through CV Analysis

This Human Resource Management is obviously bolstered by and gave more open doors by the improvement of Job Characteristics Model (JCM) which thusly depends on the idea of present day occupation plan. Luckily, the advancement in present day data framework, computerized innovations, the general access of electronic innovation and web prompted the tendency of the worldwide Human Resource. The board improvement and make the framework more pertinent. Following the pattern, the proposed framework attempts to structure an arrangement to coordinate Job Characteristics Model into E-HR framework to scan for another model of proficient activity on Human Resource Management in the Internet Age. In this venture, we present a lot of strategies that makes the entirety enlistment process increasingly viable and productive. We have executed a framework that positions the competitors dependent on weight-age arrangement just as a bent test. Today there is a developing enthusiasm for the character attributes of an up-and-comer by the association to more readily look at and comprehend the competitor's reaction to comparable conditions. Along these lines, the framework directs a character expectation test to decide the character attributes of the applicant. At long last, it shows the consequences of the contender to the selection representative who assesses the top competitors and waitlists the applicant. This system can used in many business sectors that may require expert candidate. This system will reduce workload of the human resources. This system will help the human resource to select right candidate for desired job profile, which in turn provide expert workforce for the organization. Admin can easily shortlist a candidate based on their online test marks and select the appropriate candidate for particular job profile. This will enable a more effective way to short list submitted candidate CVs from a large number of applicants providing aconsistent and fair CV ranking policy, which can be legally justified

Dawn Symbo

The design of the Dawn-Sympo involves the analysis of the internal and external environment. The main objective of this web application is to enable the students to take up the test through online and to obtain their results. The student can also refer for their webinar details through the web application

Brain Tumor Detection using Image Processing

Brain tumor extraction and its analysis are challenging tasks in medical image processing because brain image is complicated .Segmentation plays a very important role in the medical image processing.In that way MRI (magnetic resonance imaging )has become a useful medical diagnostic tool or the diagnosis o brain & other medical images.In this project, we are presenting a comparative study of three segmentation methods implemented or tumor detection .The method includes kmeans clustering using watershed algorithm . Optimized k-means and optimized c-means using genetic algorithm.

Online MCA (Pok)

The purpose of the project only for students knowledge. Students using the username & password to login the website .These project have some new features. In this blog, Daily morning uploading top 5 technological news and entrepreneurs motivational videos, Technical videos, Technological Q&A, Alumni projects with them the contacts, user can get marks and daily timetables.The newly joined students knows about MCA Rank holder, cultural, symposium and students can express their opinions and can say theirneeds.The students can knows about the In-campus drives and alumni placements. This document is meant for describing all the features and procedures that were followed while developing the system. This document specially mentions the details of the project how it was developed, the primary requirement, as well as various features and functionalities of the project and the procedures followed in achieving these objectives. The purpose of the project only for student knowledge. When students comes to website. They will learn one thing about technology. Its prominent intensity of this project .Students using the username & password to login the website .These project have some new features. In this blog, Daily morning uploading 5 technological news and entrepreneurs motivational videos, technical videos, technologic Q&A, Alumni project and download the project with zip file. The newly joined students knows about MCA cultural, symposium and students can express their opinions and can say their needs. The student can knows about the alumni placements details and contact with their social media.

FX Infrastructure Complaint Management System

The FX Infrastructure Complaint Management System is a web application which focuses on an activity or function, which is based on management of infrastructure of institutions. In this web application user select faulty accessories and report it to the admin with particular complaint. It maintains a database of all the information that are recorded and received. It helps the college to maintain all the accessories safely. The admin get this information, Admin can perform quick action to repair infrastructure of college. Also according to students and teachers complaint he quickly know the location of accessories as classroom, cantine, library, bathroom etc. This web application is mainly focus on the maintenance of college infrastructure management.

Womens Safety Mobile App

This Women Safety application is used for protects womens from Crimes.Women safety matters a lot whether at home, outside the home or working place.Most of the women of various ages, till this day are being subjected to violence, domestic abuse. In this system user needs to feed three contact numbers, in case of emergency on moving the phone up and down thrice, the system sendsSMS and calls on one of the numbers feeded into the system with the location.The phone starts vibrating and siren starts ringing. Women’s safety is a big concern which has been the most important topic till date. Women safety matters a lot whether at home, outside the home or working place. Few crimes against ladies particularly rape cases were terribly dread and fearful. Most of the women of various ages, till this day are being subjected to violence, domestic abuse, and rape. As ladies ought to travel late night generally, it’s necessary to remain alert and safe. Although the government is taking necessary measures for their safety, still, there are free safety apps for women that can help them to stay safe. Most of the femalesthese days carry their smartphone with them, so it is necessary to have at least one the personal safety appsinstalled. Such a security appfor ladies will definitely facilitate in a way or the opposite. This is user-friendly application that can be accessed by anyone who has installed it in their smart phones. Our intention is to provide you with fastest and simplest way to contact your nearest help. In this system user needs to feed three contact numbers, in case of emergency on moving the phone up and down thrice, the system sends SMS and calls on one of the numbers feeded into the system with the location. The phone starts vibrating and siren starts ringing. This features for both everyday safety and real emergencies, making it an ultimate tool for all.

Internet of Things (IoT) Based surgery with Innovative Combination of Artificial Intelligence and Human Intelligence

While examining the historical backdrop of clinical procedure, we can understand that medical practitioner have/had created and refined instruments for complicated surgeries. Development in clinical progressions is on a standard with that saw in the sickness causing specialists and infections. Since ancient time, clinical practices were performed using obtrusive medical procedures without sedation, which resulted in high mortality and post-surgery complications. This led to the emergence of effective, safe and user friendly medical instruments and procedures with little to moderately death rate. At present obtrusive methodologies are negligibly practiced, but provides less twisted related complexities, fast organ work return, and more limited hospitalizations. The success of these methods has prompted for higher acknowledgment of picture guided surgeries. We present an Internet Of things (IOT) and Artificial Intelligence (AI) based model that includes a computer generated experience based (VR-based) User interface and some benefits and limitations. It can be done by Raspberry pi, android application and also done by Sap cloud system.

Feature Extraction and Classification of Segmented ECG Signals Based on Radial Basis Function and Random Forest Methodology

Heart disease is the major cause of death ratio increase in this decade. Nowadays various people of different age sector undergo the high risk of heart problems and miss their precious life all of a sudden. Early detection of heart disease will save many people’s life well in advance. Heart Diseases are predictable and they can be identified in earlier stage. First basic method to identify heart disease is ElectroCardioGram (ECG) which is the basic recording method of electrical activities of a functioning heart. ECG is the cheapest and painless method to detect the basic heart problems. This paper is an attempt to detect and classify heart beat signals which will serve as the basic step to predict basic and serious issues which may affect the functioning of the heart. The raw ECG signals are extracted and preprocessed to remove unwanted noises which will produce effective results. The preprocessed ECG signals are then are utilized to identify the heart beats which comprise of signals such as P,Q,R,S,T and U. After detecting the heart beats, they are segmented to extract the ECG Features. The temporal and spectral features are extracted from the segmented ECG signals for classification purpose. The extracted feature vectors are utilized to classify the signals. Radial Basis function and Random Forest method are commonly used classification methodologies; hence these two methodologies are applied to classify the ECG Signals into five basic classes. Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrhythmia database and Noise Stress database are used for this implementation and the classes are identified based on the given dataset parameters. Performance metrics such as accuracy, specificity and sensitivity are computed to find out the best classification methodology among the applied two methodologies. This performance analysis provides a clear comparative view of both the existing methodologies and specifies that Radial Basis function well suits for the given segmented ECG signals and the extracted features. Hence this performance evaluation paves way for best classification algorithm selection or extension of the best methodology and it can be further optimized for better classification result. The implementation process has been carried out using Matlab software environment.