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.

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.

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.

Online ALMA Development

In our project graduates are our finest ambassadors and we are proud to count captains of industry, senior scientists and successful sports people among their number. Institute of Technology and Sciences ALUMNI ASSOCIATION links graduates and their alma mater. Membership of is free and automatic for all graduates and enables them to maintain a life-long relationship with their college. Graduates also benefit from a wide range of services including class reunions, alumni newsletter, souvenir gift items, alumni ID cards and access to a variety of alumni chapters around the world. With an office on campus This is also responsible for coordinating an online community for alumni worldwide, providing a unique opportunity to connect with other graduates via the Website. In our project graduates are our finest ambassadors and we are proud to count captains of industry, senior scientists and successful sports people among their number. Institute of Technology and Sciences ALUMNI ASSOCIATION links graduates and their alma mater. Membership of is free and automatic for all graduates and enables them to maintain a life-long relationship with their college. Graduates also benefit from a wide range of services including class reunions, alumni newsletter, alumni ID cards and access to a variety of alumni chapters around the world. With an office on campus This is also responsible for coordinating an online community for alumni worldwide, providing a unique opportunity to connect with other graduates via the Website Alumni can communicate to the students regarding job opportunities and the students can share the department technology activities to the alumni. The alumni and the student can communicate only through the admin permission. A system that will be able to manage alumni data of a college and provide easy access to the system. Final year students will be initially given a student login ID. Access to the system can help them in building connections to their projects or for placements. The system will automatically list all Alumni information their graduation and their status will be transferred from the student module to the alumni module.

SCAD Geo Spatial Web Solution

Local bodies like municipalities need collect different kind of taxes from the citizens. Every citizen need to pay Water Bills and Electricity Bills to the particular authorities. Actually a citizen want to pay his municipal tax means he should go to municipal office and collect the necessary bill, pay there only. Same as water and electricity bills. This is not an easy job to get all these tax information in different authorities now days. For that purpose we are developing this application, which can collect the tax information from different authorities based on the house no’s and owner name by using web services and stores the data in our own database. For getting the information regarding taxes citizens need to register first. The bill are calculating on different modes like annual, half yearly, quarterly etc... By using the user id and password citizens can log into the system and collect the necessary information from the home page. For this every user need to provide his house no and owner name. By clicking on the search button they will get their own. The smart city is equipped with the electronic circuitry where the weight of the garbage in the bin is measured and the value is updated in the database. The database of the families will be created and maintained by the municipality. A web portal gives the involved people and authorities access to the related information. A house is penalized for every kilogram more than the allotted garbage weight limit. Further enhancements are explored. Thus, the residents are incentivized to produce lesser waste.

Online Auction System

Online auctions are now an immensely popular component of the electronic marketplace.Online Auction management system is a web based application which will help users to buy or sell item.This application will allow users to post their products for auction; bidder can register and can bid for any available product around their location.It is developed with the objective of making the system reliable, easier and fast and to sell or order the products on the website from our house.The online auction system is based on the concept where a product is valued for the highest price.In most online auctions, the products listed for an auction are located away from the bidders location.In our auction system, the bidders or buyers can view the products in auction process which is located around his surroundings.So that the bidder or buyer can participate in auction for his nearby products.