iCreate - 2018
SPECIAL ISSUE ON ENHANCEMENT & ADVANCEMENTS IN TECHNOLOGY AND ENGINEERING.

  • Stock Market Prediction Prof. Yogesh Shepal, Borole Yatish, Kamble Rahul, Shaikh Anis

    Abstract - On the share trading system, it is said that the most grounded stock gives the bearing of those stocks that are in a similar space (IT, administrations, oil, and others). Deciding the most grounded stock has a critical influence in finding a superior minute to enter on a position. This paper displays a value activity procedure that joins Technical Analysis, and Statistical Methods so as to locate the most grounded stock.

    Stock Market Prediction

    Prof. Yogesh Shepal, Borole Yatish, Kamble Rahul, Shaikh Anis

    Stock Market Prediction

  • Surveillance for Online Examination Prof. Swapnil Wani, Abhishek Vijay Shinde, Rajeev Sudhir Mayekar, Vinayak Sanjay Mane

    Abstract-Surveillance for online exam framework can track understudies and recognize suspicious circumstances by utilizing web camera. Computerization is utilized as a part of complex circumstances to decrease the workload put on the human administrator and thusly to build the efficiency and improve the execution.

    Moreover, contingent upon robotization isn't just identified with the exactness of the framework yet in addition to the human administrators' dependence on programmed framework. Keywords— Examination, Video, Students, Surveillance, Viola Jones, Pitch Detection.

    Surveillance for Online Examination

    Prof. Swapnil Wani, Abhishek Vijay Shinde, Rajeev Sudhir Mayekar, Vinayak Sanjay Mane

    Surveillance for Online Examination

  • Human-to-Machine Conversation Modeling for Movie Ticket Booking using NLP Prof. Sumeet Pate, Mr. Akshay Bhagat, Miss. Ruchita Bhoir, Mr. Ayush Sharma

    Abstract— Chatbots are software agents that interact with the user in a conversation. The main goal of their creation was to resemble a human being in the way they perform said interaction, trying to make the user think he/she is writing to another human being. Proposed Chatbot uses natural language processing (NLP) to analyze chats and extracts intent of the user with a score similar to the likes of WIT.

    Then it uses this information and AIML (Artificial Intelligence Mark-up Language) to make a conversation with the user. Keywords-AIML, UI, Artificial Intelligence, Database, Chatbot.

    Human-to-Machine Conversation Modeling for Movie Ticket Booking using NLP

    Prof. Sumeet Pate, Mr. Akshay Bhagat, Miss. Ruchita Bhoir, Mr. Ayush Sharma

    Prof. Sumeet Pate, Mr. Akshay Bhagat

  • A Scalable Content-Based Image Retrieval in Peer-To-Peer Network Vishal R. Shinde, Ameya Agrawal, Anand Agrawal, Deepak Gaikwad

    Abstract - Content-based image retrieval (CBIR) is a technique to search the desired image from the homogeneous or heterogeneous database. Image is broke down utilizing highlights like shape, estimate, surface and so forth. In this Paper a dynamic codebook refreshing strategy by upgrading the common data between the resultant codebook and importance data, and the workload adjust among hubs that oversee distinctive code words.

    A Scalable Content-Based Image Retrieval in Peer-To-Peer Network

    Vishal R. Shinde, Ameya Agrawal, Anand Agrawal, Deepak Gaikwad

    A Scalable Content-Based Image Retrieval

  • Delivery Vehicle's Simultaneous Delivery and Pickup Routing Problem in an E-commerce Environment Prof. Ravi Nagar, Nikhil Rajendra Kalvekar, Pratik Nathu Lokhande, Shubham Kadam

    Abstract: Vehicle's simultaneous delivery and pickup routing problem in E-commerce environment is addressed. When a real-time pickup order is received, it is difficult dealing with the discrepancy between logistics cost and timeliness of service for the company. A dynamic scheduling strategy is developed to designate real-time requirements utilizing on-delivery vehicle quickly and in cost effective way.

    Delivery Vehicle's Simultaneous Delivery and Pickup Routing Problem in an E-commerce Environment

    Prof. Ravi Nagar, Nikhil Rajendra Kalvekar, Pratik Nathu Lokhande, Shubham Kadam

    Delivery Vehicle's Simultaneous Delivery

  • Real Time Video Copy Detection on bigdata with no Hadoop Prof. Sumeet Pate, Yogesh Ramesh Kolte, Pranav Mohan Kadam, Rohit Dileep Oza

    Abstract - Bags of videos are getting uploaded to the internet from time to time and are aggregate every day. Out of these videos, ample numbers of videos are actionable copies or some videos are manipulated versions of absolute media. Because of rising enthusiasm for videos, there are different locales which furnish with various types of videos however it isn't vital that each video hold unique content.

    Real Time Video Copy Detection on bigdata with no Hadoop

    Prof. Sumeet Pate, Yogesh Ramesh Kolte, Pranav Mohan Kadam, Rohit Dileep Oza

    Real Time Video Copy Detection

  • Real Time Bus Tracking System Prof. Vishal Shinde, Miss.Alekar Akshata, Miss. Morge Mayuri, Miss.Rathod Sonali

    Abstract-Bus tracking is an application that tracks a bus. Tracking System has the installation of an electronic device in a vehicle but electronic device is costly so we can use Android App for Bus tracking with an installed Android App on any SMART phone .User get the vehicle's location. There are two applications one for server and the other for the client. Bus driver start application on there Android phone to track their positions.

    By this positions to server are periodically updated Customer application shows delineate demonstrates the situation of transport. It indicates where transports are on a guide and give clients the refreshed data at various time interim. The server will screen area and will store its information in the database. It is a continuous framework as this naturally sends the data on the GPS framework to a PC or framework/SMART telephone.

    Real Time Bus Tracking System

    Prof. Vishal Shinde, Miss.Alekar Akshata, Miss. Morge Mayuri, Miss.Rathod Sonali

    Real Time Bus Tracking System

  • Image Forgery Detection Using Hybrid JPEG Ghost Prof. Sumeet Pate, Miss. Shinde Pratiksha, Miss. Pawar Supriya, Mr. Sambre Aakash

    Abstract— This paper presents Image Forgery Detection (IFD) systems connected for both Copy-Move and joined pictures utilizing JPEG Ghost Algorithm and DCT calculation [5]. [4] This paper endeavors to recognize fraud in pictures, reports and so forth. Presently a-days, it is conceivable to control a picture by expelling or including critical highlights from it without leaving any intimation of altering the first picture.

    With the end goal of Copy-Move pictures, the circulation relies upon contrasts in preparing input pictures with or without adjustment before removing the picture highlights. For the joined pictures, bundle of discovering ability in view of picture highlights or camera highlights are shortened. In this paper Advantages, constraints, future extension from these procedures are likewise said.

    Image Forgery Detection Using Hybrid JPEG Ghost

    Prof. Sumeet Pate, Miss. Shinde Pratiksha, Miss. Pawar Supriya, Mr. Sambre Aakash

    Prof. Sumeet Pate, Miss. Shinde Pratiksha

  • Image Resizing of Images by Using Seam Carving Prof. Ravi Nagar, Ganesh Suresh Jikmade, AkshayKumar Manohar Chakkarkota, Mahesh Gopi Rapelli

    Abstract - Image Processing is an important technology for performing image operations. The examination and control on a digitized image enhances its quality. Image Processing offers various procedures to process a image, for example, Image Resizing, Image Enhancement and so forth. Image resizing is a key procedure for showing visual media on various gadgets and it has pulled in much consideration in the previous couple of years.

    Image Resizing of Images by Using Seam Carving

    Prof. Ravi Nagar, Ganesh Suresh Jikmade, AkshayKumar Manohar Chakkarkota, Mahesh Gopi Rapelli

    Image Resizing of Images by Using Seam Carving

  • Data Classification and Record Linkage in Heterogenous Database Prof. Akshay Agrawal, Miss. Pallavi Borde, Miss. Pooja Patil, Miss. Sharada Sonawane

    Abstract: Linkage of population-based body knowledge could be a valuable tool for combining elaborated individual-level data from completely different sources for analysis. Studies involving the employment of probabilistic record linkage have become more and more common. However, the ways underpinning probabilistic record linkage aren’t wide educated linkage or understood, and thus these studies will seem to be a 'black box’ analysis tool.

    Data Classification and Record Linkage in Heterogenous Database

    Prof. Akshay Agrawal, Miss. Pallavi Borde, Miss. Pooja Patil, Miss. Sharada Sonawane

    Data Classification and Record Linkage

  • Hadoop Performance Modeling For Job Estimation And Resource Provisioning Prof. Sumeet Pate, Ganesh Phad, Pratik Dhage, Saurabh Wagh

    Abstract - For information escalated applications MapReduce is vital processing model in exhibit period. Open source execution of MapReduce is Hadoop. It has been embraced by an inexorably developing client group. Distributed computing specialist organizations like Amazon, EC2 Cloud are putting forth the open doors for Hadoop clients to rent a specific measure of assets.

    Hadoop Performance Modeling For Job Estimation And Resource Provisioning

    Prof. Sumeet Pate, Ganesh Phad, Pratik Dhage, Saurabh Wagh

    Hadoop Performance Modeling

  • Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications Prof. Ziany Alpholicy, Miss. Monika Sonavane, Miss. Shweta More, Miss. Neetu Yadav

    Abstract-During a time where there is a solid reliance on electrical apparatuses for residential schedules, this paper proposes a calculation for distinguishing residential exercises from non-nosy shrewd meter total information. It recognizes exercise of human activities pattern and predict its effect on human health. For the two kinds of exercises, it begins by disaggregating the add up to control utilization down to individual electrical machines.

    At that point, fabricate a characteristic action model to reason four residential exercises utilizing the Dempster-Shafer hypothesis of confirm. To approve our calculations, utilize genuine vitality and ecological information gathered in a genuine UK family unit over a time of three months, benchmarked on a period stamped log of exercises. The outcomes demonstrate that it is conceivable to distinguish four tried household day by day exercises.

    Mining Human Activity Patterns from Smart Home Big Data for Healthcare Applications

    Prof. Ziany Alpholicy, Miss. Monika Sonavane, Miss. Shweta More, Miss. Neetu Yadav

    Mining Human Activity Patterns

  • IoT Based Soil Irrigation Monitoring and Control Project Prof. Vishal Shinde, Rajesh Pillai, Varad Kokare, Nikhil Suryavanshi

    Abstract— Agriculture plays an important role in developing countries. In India, the majority of population rely upon rural cultivating. Thus the Project goes for influencing agriculture business to brilliant utilizing computerization and IOT innovation. Besides checking the task through Web View application in any cell phone. In this journey paper are utilizing three sensor. The moisture sensor measure the moisture level of distinctive plants.

    In the event that the moisture level is observed to be underneath the coveted level the moisture sensor sends the flags to the Arduino board which Automatic the Water Pump to turn ON and supply the water to the plant. At the point when the coveted moisture level is achieved the framework ends without anyone else and the Water Pump2 is off [1]. Another main aspect of this project is Light intensity sensor.

    IoT Based Soil Irrigation Monitoring and Control Project

    Prof. Vishal Shinde, Rajesh Pillai, Varad Kokare, Nikhil Suryavanshi

    Prof. Vishal Shinde, Rajesh Pillai

  • Determining Social Activities Using Statistical Distribution To Find Account Compromisation in Online Social Network Prof. Prerna Kulkarni, Mr. Amol Chakane, Mr. Kartik Andhalkar

    Abstract - Record compromization is a genuine danger to clients of online informal communities (OSNs). While steady spammers misuse the built up trust connections between account proprietors and their companions to productively spread malignant spam, opportune recognition of traded off records is very testing because of the entrenched put stock in connection between the specialist organizations, account proprietors, and their companions.

    Determining Social Activities Using Statistical Distribution To Find Account Compromisation in Online Social Network

    Prof. Prerna Kulkarni, Mr. Amol Chakane, Mr. Kartik Andhalkar

    Determining Social Activities Using Statistical

  • Web App Store for Inventory Management and Stock Report in Android App Using Centralized Database Prof. Vishal Shinde, Ashutosh Singh, Kajal Wayal, Vishakha Vadhavinde

    Abstract: Inventory management and stock report is the system which is widely used in the industry. Therefore, only by establishing a shared inventory management system for the various departments of the enterprise enabled enterprises to timely and effective control of its own inventory of resources, management and rational use.

    Web App Store for Inventory Management and Stock Report in Android App Using Centralized Database

    Prof. Vishal Shinde, Ashutosh Singh, Kajal Wayal, Vishakha Vadhavinde

    Web App Store for Inventory Management

  • SMS Based Remote Mobile Phone Data Access System Prof. Akshay Agarwal, Balkrishna Sapale, Darshana Pardeshi, Akhila Dodla

    Abstract - To access the data remotely with the help of Android Mobile application into the web application. The basic idea is to design as well as develop an Application which permits the user to browse through Mobile data like text messages and contacts and allows them for uploading his data on to a remote server. Remotely operating the cell phone, the lost mobiles information can be handled remotely.

    SMS Based Remote Mobile Phone Data Access System

    Prof. Akshay Agarwal, Balkrishna Sapale, Darshana Pardeshi, Akhila Dodla

    SMS Based Remote Mobile Phone

  • Secured Online Voting System with Aadhaar Linking Prof. Akshay Agarwal, Mr. Janardan Jadhav, Miss. Snehal Gavande, Miss. Bhairavi Sawant, Miss. Sonali Sawant

    Abstract-This paper manages the web based voting framework that will impact the voting structure to smart, more secure and easy to vote. This paper shows a system which can be is connected with Aadhaar card [1]. In the entire nation Aadhaar card Number is Unique for each individual and it contains biometric data of every subject. So it will be useful in disposing of fake Voting.

    ach individual and it contains biometric data of every subject. So it will be useful in disposing of fake Voting. The proposed show has a more noteworthy security as in voter high security secret word is affirmed before the vote is acknowledged in the fundamental database of Election Commission of India [3]. Subsequent to voting client need to cross check their vote then they can affirm with reference.

    Secured Online Voting System with Aadhaar Linking

    Prof. Akshay Agarwal, Mr. Janardan Jadhav, Miss. Snehal Gavande, Miss. Bhairavi Sawant, Miss. Sonali Sawant

    Secured Online Voting System

  • Detecting and Defending against Location based Permission Leakage in Applications Prof. Vishal Shinde, Mr.Nitin Varkute, Miss.Ankita Darekar, Mr. Rupesh Thakare, Mr. Pratik Padwal

    Abstract— Chatbots are software agents that interact with the user in a conversation. The main goal of their creation was to resemble a human being in the way they perform said interaction, trying to make the user think he/she is writing to another human being. Proposed Chatbot uses natural language processing (NLP) to analyze chats and extracts intent of the user with a score similar to the likes of WIT.

    Then it uses this information and AIML (Artificial Intelligence Mark-up Language) to make a conversation with the user. Keywords-AIML, UI, Artificial Intelligence, Database, Chatbot.

    Detecting and Defending against Location based Permission Leakage in Applications

    Prof. Vishal Shinde, Mr. Nitin Varkute, Miss.Ankita Darekar, Mr. Rupesh Thakare, Mr. Pratik Padwal

    Prof. Vishal Shinde, Mr. Nitin Varkute