iCreate-2019


  • Real Time Big Data Analytics Using Sentimental Analysis Prof.Akshay Agarwal, Mr.Akshay Karangutkar, Mr.Vallabh Mahajan, Mr.Hitesh Pargi

    Abstract - People go for online social media as it is easy to convey their opinions, to have an up-to-date knowledge about the ongoing trends on a daily basis. Twitter is the biggest and renowned online social media gets a large number of tweets each day on various topics. This huge volume of raw information can be used for Social, Industrial, Economic, or Government approaches.

    Real Time Big Data Analytics Using Sentimental Analysis

    Prof.Akshay Agarwal, Mr.Akshay Karangutkar, Mr.Vallabh Mahajan, Mr.Hitesh Pargi

    Real Time Big Data Analytics

  • RansomDef: A Modular Approach in Defence against Cryptographic Ransomware Attacks using Machine Learning Prof. Vishal Shinde, Mr.Upanishadh Prabhakar, Mr.Sahil Patel, Miss.Khyati Selani

    Abstract-Cryptographic ransomwares have been wreaking havoc across the extended cyberspace throughout the world leading to millions of dollars lost either in paying ransoms or in recovering the data lost in the attack by other means. In such cases the malicious software encrypts various user files and uses them as a leverage to extort ridiculous amounts of money to decrypt the files.

    RansomDef: A Modular Approach in Defence against Cryptographic Ransomware Attacks using Machine Learning

    Prof. Vishal Shinde, Mr.Upanishadh Prabhakar, Mr.Sahil Patel, Miss.Khyati Selani

    RansomDef: A Modular Approach in Defence

  • Motion Detection Using Arduino And PIR Prof.Akshay Agrawal, Mr.Mahesh Kshirsagar, Mr.Vivek Yadav, Miss.Rupali Ghodvinde

    Abstract— In the proposed framework an astoundingly financially sharp and outrageous discernment structure will be made which will apparently perceive human nearness and trigger the Camera Module ,which will begin recording the video and additional it to an outer drive comparably as send a notice on the android application concerning the advancement and in the mean time the client will all around.

    Motion Detection Using Arduino And PIR

    Prof.Akshay Agrawal, Mr.Mahesh Kshirsagar, Mr.Vivek Yadav, Miss.Rupali Ghodvinde

    Motion Detection Using Arduino

  • Mood Based Music Player Using Real Time Facial Expression Extraction Prof.Sumeet Pate, Miss.Shreya Zunjarrao, Miss.Poonam Harane, Mr.Akshay Choudhary

    Abstract - The face is a vital organ of an individual’s body and it particularly plays a crucial role in extraction of an individual’s behavior and emotion. With the presence of technology, it’s helpful for a computer application to analyze human moods from facial video in real time [1]. The manual segregation of list of the songs and generation of an appropriate system.

    Mood Based Music Player Using Real Time Facial Expression Extraction

    Prof.Sumeet Pate, Miss.Shreya Zunjarrao, Miss.Poonam Harane, Mr.Akshay Choudhary

    Mood Based Music Player Using Real

  • Course File Generation Application Prof. Akshay Agarwal, Mr. Bhushan Bawaskar, Mr. Nitin Patole, Ms. Sonal Raut

    Abstract: Course file generation application help user to manipulate, process the useful data collected from various sources available. This data collected is always in different formats and has to be sorted and converted in different formats every time whenever they are used. As a case study this application focuses on converting similar data into different formats.

    Course File Generation Application

    Prof. Akshay Agarwal, Mr. Bhushan Bawaskar, Mr. Nitin Patole, Ms. Sonal Raut

    Course File Generation Application

  • Indoor Intelligent Campus Localization Using Wireless Signal Based On Wap Prof. Sumeet Pate, Vrushali Ananta Pandit, Pallavi Sudhir Pagare, Prabodhan Suresh Bhalerao

    Abstract - It's one of the preferred method utilized for Indoor Intelligent Campus Localization Using Wireless signals based on WAP because of its low intricacy and its cost efficacy. This proposes indoor localization algorithm utilizing Wi-Fi method that is congruous for indoor IoT application. The proposed algorithm coalesces the location gauges from two unique methodologies.

    Indoor Intelligent Campus Localization Using Wireless Signal Based On Wap

    Prof. Sumeet Pate, Vrushali Ananta Pandit, Pallavi Sudhir Pagare, Prabodhan Suresh Bhalerao

    Indoor Intelligent Campus Localization

  • Chatbot for college related FAQs Prof. Vishal R. Shinde, Miss. Anagha Bagul, Mr. Amit Gupta, Miss. Sneha Javeri

    Abstract - A Chatbots is a conversational representative that act together with users using natural language. Traditionally to solve a query by a software program it use to involve search engine of filling outer form. A chatbot permits a user to merely ask a query in a same style that they would talk a human. Chatbots have turn out to be more widespread in business groups now as they reduce customer service cost.

    Chatbot for college related FAQs

    Prof. Vishal R. Shinde, Miss. Anagha Bagul, Mr. Amit Gupta, Miss. Sneha Javeri

    Chatbot for college related FAQs

  • Record Linkage And Data Prediction Using Big data Prof.Vishal Shinde, Miss.Dhanashri Kamatkar, Miss.Pratiksha Partole, Miss.Neha Patil, Miss.Aishwarya Waghchoude

    Abstract— The process of text organization in which the text documents which having words, phrases and word permutation with respect to set of previously defined categories. Text organization having many applications which can be the classification of content, filtering email news contracted-casting and monitoring. Extracted keywords from documents for classification.

    Record Linkage And Data Prediction Using Big data

    Prof.Vishal Shinde, Miss.Dhanashri Kamatkar, Miss.Pratiksha Partole, Miss.Neha Patil, Miss.Aishwarya Waghchoude

    Record Linkage And Data Prediction

  • Combinatorial Test Case Generation Using Enhanced Bird Swarm Algorithm Prof.Swapnil Wani, Mr.Prathamesh Shinde, Mr.Venu Maduta

    Abstract - Combinatorial examining is an efficient black box checking approach for the machine with many numbers of parameters and their values. But, for significantly mixed and key element, combinatorial trying out still owns high complexity. Testing completely the center a part of those elements generally is a form of solution and Variable strength combinatorial test data generation.

    Combinatorial Test Case Generation Using Enhanced Bird Swarm Algorithm

    Prof.Swapnil Wani, Mr.Prathamesh Shinde, Mr.Venu Maduta

    Combinatorial Test Case Generation

  • Signature Verification System Using Real Signatures Prof. Vishal Shinde, Miss.Sayali Deshmukh, Miss.Priyanka Tapal, Miss.Surbhi Ubale

    Abstract: Signature is basic biometric traits of people that have for some time been utilized for approval purposes. Most associations essentially center around the visual appearance of the signature for check purposes. Numerous reports, for example, shapes, contracts, bank checks, also, charge card exchanges require the marking of a signature.

    Signature Verification System Using Real Signatures

    Prof. Vishal Shinde, Miss.Sayali Deshmukh, Miss.Priyanka Tapal, Miss.Surbhi Ubale

    Signature Verification System

  • Improving Hadoop Performance Using the Metadata of Related Jobs & Hadoop Performance Prof.Akshay Agrawal, Mr.Mayur Shete, Mr.Priyansh More, Mr.Shree Madav, Mr.Rhishikesh Pingle, Miss.Prajakta Khare, Mrs.Kamini Goshte

    Abstract - Distributed computing views Hadoop system to process BigData in parallel[4]. Hadoop can have certain constraints that could be abused to play out the activity productively. These disadvantages are for mostly a direct result of territory of information in the group, occupations and errands booking, and distributions of assets in Hadoop.

    Improving Hadoop Performance Using the Metadata of Related Jobs & Hadoop Performance

    Prof.Akshay Agrawal, Mr.Mayur Shete, Mr.Priyansh More, Mr.Shree Madav, Mr.Rhishikesh Pingle, Miss.Prajakta Khare, Mrs.Kamini Goshte

    Improving Hadoop Performance

  • EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN Prof.Swapnil Wani, Mr.Rahul Khutade, Mr.Pratik Patil, Mr.Ashutosh Patkar

    Abstract-Today the Internet offers an enormous measure of reviews and client encounters about an assortment of items from various producers, for example, lodging booking and plane booking[1]. For a cautious client the time has come devouring to settle on great buying choices, heaps of reviews for every item, and appropriated reviews on the Internet.

    EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN

    Prof.Swapnil Wani, Mr.Rahul Khutade, Mr.Pratik Patil, Mr.Ashutosh Patkar

    EasyChoose: A Continuous Feature

  • Product Recommendation in Ecommerce using Data Mining Prof. Usha Nandawani, Mr. Kedar Walavalkar, Mr. Akshay Kalekar, Miss. Harshal Patil

    Abstract— The integration of multiple recommendation algorithms using various data and the real-time requirement are pressing problems in the development of e-commerce personalized service. The Paper displays multiple recommendation suggestion and the planning and habits of suggestion results are shown and displayed in different proposal calculations that mirror.

    Product Recommendation in Ecommerce using Data Mining

    Prof. Usha Nandawani, Mr. Kedar Walavalkar, Mr. Akshay Kalekar, Miss. Harshal Patil

    Product Recommendation in Ecommerce

  • Solar Data Faults Detection Using Machine Learning Prof. Vishal R. Shinde, Mr.Vipinkumar Gautam, Mr.Chinmay Gawande, Miss.Pooja Mahale

    Abstract - The proposed system aims to detect data faults that may occur in a Solar Energy plant. Malfunctions in a solar plant are quite troublesome as they may cause monetary losses to an organization. The system detects these data faults by monitoring and analyzing the feed from the solar data-logger and any other relevant data available on the plant site.

    Solar Data Faults Detection Using Machine Learning

    Prof. Vishal R. Shinde, Mr.Vipinkumar Gautam, Mr.Chinmay Gawande, Miss.Pooja Mahale

    Solar Data Faults Detection

  • Separable Reversible Data Hiding Using Rc4 Algorithm Prof.Swapnil Wani, Mr.Nikhil Patil, Miss Juiely Rane, Mr.Sagar Patare

    Abstract: Separable reversible data hiding using RC4 algorithm is alluded to as a procedure of hiding data in the encrypted image. Unique theme for separable reversible information hiding in the encrypted image is proposed in the system. In the principal period of the system, a receiver encodes the underlying uncompressed image utilizing a cryptography key that utilizes RC4 cryptography algorithm.

    Separable Reversible Data Hiding Using Rc4 Algorithm

    Prof.Swapnil Wani, Mr.Nikhil Patil, Miss Juiely Rane, Mr.Sagar Patare

    Separable Reversible Data Hiding

  • To Enhance the Security of Secret Questions Using Smartphone Sensors & App Data Prof.Sumeet Pate, Mr.Namdev Shinde, Mr.Vijay Sapkal, Mr.Kiran Salunke

    Abstract - Most applications offer secondary authentication methodologies, i.e. secret inquiries for resetting the username and password once the user has not logged in. But, the answers to several such secret questions are merely guessed or exposed to the outsider who has access to public online tools; additionally, a user may forget her / his answers for a long time.

    To Enhance the Security of Secret Questions Using Smartphone Sensors & App Data

    Prof.Sumeet Pate, Mr.Namdev Shinde, Mr.Vijay Sapkal, Mr.Kiran Salunke

    To Enhance the Security

  • Classification of Iris Flower Species Using Machine Learning Prof. Gayatri Naik, Miss. Dipali Birari, Miss. Bhavika Sonavane, Miss. Neha Bhagat

    Abstract -In Machine Learning, semi-robotized extraction of information of information for recognizing IRIS bloom species. Order is an accomplished knowledge in which the response is clear cut is its qualities in dataset. The tables of grouping, scikit learn a device has been utilized. This framework centers on IRIS bloom grouping utilizing Mechanism Information with scikit devices.

    Classification of Iris Flower Species Using Machine Learning

    Prof. Gayatri Naik, Miss. Dipali Birari, Miss. Bhavika Sonavane, Miss. Neha Bhagat

    Classification of Iris Flower

  • Machine Learning Algorithm For Spammer Identification In Industrial Mobile Cloud Computing Prof.Satish Manje, Miss.Nikita Palav, Miss.Sarika Aher, Miss.Payal Jage

    Abstract— Mechanical versatile system is pivotal for modern creation in Web Of Things. It ensures the typical capacity of machine and the standardization of modern creation. At any rate this trademark might be utilized by spammers to strike others and effect mechanical creation. The customers who simply offer spams such associations with disease and business.

    Machine Learning Algorithm For Spammer Identification In Industrial Mobile Cloud Computing

    Prof.Satish Manje, Miss.Nikita Palav, Miss.Sarika Aher, Miss.Payal Jage

    Machine Learning Algorithm

  • Unsafe Driving Detetction And Prevention Model Using Internet-Of-Things(IoT) Prof.GayatriNaik, Miss.Chaitali Gurav, Miss.Jeba Shaikh/Tandel, Mr.Saurabh Joshi

    Abstract - In the modern arena, [5] the main reason for accidents motor vehicular is due to unsafe driving. In the paper, Novel based IOT (Internet of Things) module is proposed to protect the people from unnecessary deaths caused by road accidents due to unsafe driving. The system makes use of the Internet of things (IOT) device as Raspberry Pi 3 models B as a core.

    Unsafe Driving Detetction And Prevention Model Using Internet-Of-Things(IoT)

    Prof.GayatriNaik, Miss.Chaitali Gurav, Miss.Jeba Shaikh/Tandel, Mr.Saurabh Joshi

    Unsafe Driving Detetction

  • A CONTENT-BASED MOVIE RECOMMENDER SYSTEM USING SVD++ Prof.Ziany Alpholicy X, Mr.Himanshu Singh, Mr.Rishabh Singh, Mr.Shravan Vemula

    Abstract: Recommender systems has shown a lot of openness in the history. Due to their large production value, it also been successfully working in business, like product recommendation at Amazon and movie recommendation at MovieLens, Book My Show. In previuosly few years, the rapid growth in web 2.0 in web and applications compose new challenges for usual recommender systems.

    A CONTENT-BASED MOVIE RECOMMENDER SYSTEM USING SVD++

    Prof.Ziany Alpholicy X, Mr.Himanshu Singh, Mr.Rishabh Singh, Mr.Shravan Vemula

    A CONTENT-BASED MOVIE

  • An Efficient Multiuser Searchable Encryption Scheme without Query Transformation Prof Gayatri Naik, Mr. Nikhil Chaudhari, Mr. Pranav Gaonkar, Mr. Haresh Pandhare

    Abstract— Searchable Encryption (SE) schemes[2] provide security and privacy to the cloud data. The present SE approaches enable diverse customers to perform look action by using changed plans like Broadcast Encryption (BE), Attribute-Based Encryption (ABE, etc. In any case, these plans don't empower different customers to play out the request task over the mixed data.

    An Efficient Multiuser Searchable Encryption Scheme without Query Transformation

    Prof Gayatri Naik, Mr. Nikhil Chaudhari, Mr. Pranav Gaonkar, Mr. Haresh Pandhare

    An Efficient Multiuser Searchable

  • DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments Prof.Satish Manje, Mr.Faihzan Shaikh, Mr.Rahul Bhandari, Mr.Adesh Shirvadkar

    Abstract - A Dynamic PoS is a beneficial cryptographic primitive that enables a person to check the integrity of outsourced files and to correctly replace the documents in a cloud server. It presents the design of a DeyPoS, which allows a user to bypass the uploading system and obtain the ownership of the files right away, whilst different owners of the identical documents.

    DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments

    Prof.Satish Manje, Mr.Faihzan Shaikh, Mr.Rahul Bhandari, Mr.Adesh Shirvadkar

    DeyPoS: Deduplicatable Dynamic

  • Collaborative Filtering-Based Recommendation Of Online Social Event Prof.Ziany Alpholicy X, Mr.Pratik More, Mr.Niraj Mishra, Mr.Yuvraj Bambale

    Abstract: Social vote is a rising new feature in on-line social networks. It poses distinctive challenges and opportunities for recommendation. During this paper, develop a {group collection} of matrix resolution (MF) and nearest neighbor (NN)-based recommender systems (RSs) that search a network and affiliate information for social event suggestion.

    Collaborative Filtering-Based Recommendation Of Online Social Event

    Prof.Ziany Alpholicy X, Mr.Pratik More, Mr.Niraj Mishra, Mr.Yuvraj Bambale

    Collaborative Filtering-Based

  • Emergence of Corporate Social Entrepreneurship in India Dr. Meghna Aggarwal

    Abstract: This paper identifies the factors promoting the growth of Corporate Social Entrepreneurship (CSE) in India. CSE is a necessary and logical step to take after realizing CSR strategy, and to take joint economic and social value creation to the next level. The author studied the relationship between CSE and CSR and provide suggestions to budding entrepreneurs in India.

    Emergence of Corporate Social Entrepreneurship in India

    Dr. Meghna Aggarwal

    Emergence of Corporate Social Entrepreneurship

  • Showing calling, morals in the Era of globalization of schooling: Should they be Evamped MANISH PREMJIBHAI VAGHASIA

    In the quick changing universe of the mid 21st century state funded schooling is likewise evolving. As a piece of the change, part of schools and training will likewise be diverse both in instructive framework and in the general public. The function of the Teaching Council is to direct the showing calling and the expert lead of educators, to build up and advance proficient principles, to help the proceeding with proficient improvement of instructors

    Showing calling, morals in the Era of globalization of schooling: Should they be Evamped

    MANISH PREMJIBHAI VAGHASIA

    Showing calling, morals in the Era of globalization

  • Determination of patient condition from diagnosed data using fast forward neural network and fuzzy logic Brijesh D Mehta, Dr.P.H.Bhathawala

    Abstract - In this paper, an attempt has been made to utilize neural networks patient condition from diagnosed data fuzzy logic. Artificial Neural Network is a branch of synthetic intelligence, has been conventional as a brand-new technology. Neural Networks are presently ‘warm’ studies vicinity in medicine, especially within the fields of radiology, urology, cardiology, oncology and etc. It has big software in many regions along with schooling, enterprise.

    Determination of patient condition from diagnosed data using fast forward neural network and fuzzy logic

    Brijesh D Mehta, Dr.P.H.Bhathawala

    Determination of patient condition from diagnosed

  • Energy Consumption in Wireless Sensor Network Harish Morwani, Mukta Agarwal

    Energy is a restricted asset in remote sensor networks. Indeed, the decrease of force utilization is pivotal to building the lifetime of low power sensor networks. Remote sensor networks comprise little, independent gadgets with remote systems administration capacities. To additional increment, the appropriateness in genuine world applications, limiting power utilization is perhaps the most basic issue

    Energy Consumption in Wireless Sensor Network

    Harish Morwani, Mukta Agarwal

    Energy Consumption in Wireless Sensor Network

  • Design and fabrication of an absorber for a solar-powered desalination system Sahil Gopal Naghate, Dr. Nilesh Diwakar

    Solar energy is used in solar desalination systems to heat saltwater, which is accomplished through the use of a parabolic solar concentrator. The steam that has been created is subsequently condensed to provide clean drinking water. An absorber is positioned within the focus region of the concentrator to keep the water from evaporating. The construction of an absorber with the appropriate size

    Design and fabrication of an absorber for a solar-powered desalination system

    Sahil Gopal Naghate, Dr. Nilesh Diwakar

    Design and fabrication of an absorber