International Conference on Innovation and Advance Technologies in Engineering
(Volume-1)

CMPN

Paper Type :: Research Paper
Title :: Just Walk Out: An innovation towards the fusion of the online and offline markets
Country :: India
Authors :: ShrutikaMallya || Shrusti Talati || Gayatri Pednekar || Dr.Mamta Meena
Page No. :: 01-05

An ever emerging trend and development of the digital technology has become a prime reason leading to thedrift of the potential users from the offline to the online markets. This paper proposes to bring in a change in theway people shop adding in the advantages of both, an online and an offline market and promoting the 020 business strategy. The users of the system will be able to carry out multiple tasks like adding items to the smart cart, operating the cart manually, mobile payments and a quick bill generation while avoiding the long queues at the billing desk and experiencing a hassle-free shopping. A mobile application along with the use of NFC(Near Field Communication) makes this process handy for the end user. Various modules like the web module, user android application, and physical interaction with the items in the market have been closely discussed to define an interconnectivity and suffice the needs of the user to make it a whole-new experience of a Smart Shopping System for the end-user.

[1] Muhammad Fauzi Bin Othman, NursihahBt Amir, Muhifuudin Bin Mansu, Akram M. Zeki, "Developing Mobile E-Groceries Model", Advanced Computer Science Applications and Technologies (ACSAT) 2015 4th International Conference on, pp. 30-34, 2015.
[2] J. Pesonen, E. Horster, Near field communication technology . TourismManagementPerspectives,2012(4): 11 -18.
[3] Debiao He, Kumar, N., Jong-Hyouk Lee, Secure pseudonym-based near field communication protocol forth consumer internet of things, Consumer Electronics, IEEE Transactianson,2015,61(l):56-62.
[4] Sruthy Chandran, SoniyaSanu, Rekha Narayanan, Anju Saji, Divya Madhu, "Omalista: An approach for user assistance to rack up the tagged wish cart", Intelligent Computing and Control Systems (ICICCS) 2017 International Conference on, pp. 891-895, 2017.
[5] A. Prinz, P. Menschner, Electronic data capture in healthcare—NFC as easy way for self-reported health status information, Health Policy and Technology,2012(3): 137-144.


Paper Type :: Research Paper
Title :: Android Application Development for Convenient Blood Donation
Country :: India
Authors :: Pujan Thakker || Nimish Sawant || Yash Raorane || Prof. Shweta Sharma
Page No. :: 06-09

Blood cannot be manufactured, it's a God gift. People usually use social networking sites for requesting blood. As there is an advancement in technology and the use of cell phones is widespread, so it's better to take advantage of this and build something for social welfare. There are systems developed but have some limitations. They cannot say whether a person is fit for donating blood. The proposed project is an android application for blood donation in which donors will create an account and add several details such as name, contact number, blood group, address, etc., one that needs blood can apply for it through the application. Blood banks and hospitals will also have an account if a blood bank or hospital falls of blood shortages or in case of emergency they can apply for blood. A request is sent to all other available donors who are nearby. The person who accepts the request first will donate it. The donors which are present in the contact list will be highlighted. The person who has donated blood will not be visible in the list for the next 3 months.

Keywords: Android, application, backend, firebase

[1]. https://www.researchgate.net/topic/Blood-Transfusion
[2]. https://teenatheart.com/blood-donation-day-india-speech-essay-article/
[3]. M R AnnishBrislin, J Albert Mayan, R AroulCanessane, M R Anish Hamlin "Blood Donation and Life Saver App" 2016 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)
[4]. Fahim, M., Cebe, H. I., Rasheed, J., &Kiani, F. (2016). mHealth: Blood donation application using an android smartphone. 2016 Sixth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP).
[5]. Shreyas Anil Chaudhari, Shrutika Subhash Walekar, Khushboo Ashok Ruparel, Vrushali Milind Pandagale "A Secure Cloud Computing Based Framework for the Blood bank" 2018 International Conference on Smart City and Emerging Technology (ICSCET)


Paper Type :: Research Paper
Title :: Sign Language Prediction using Machine Learning
Country :: India
Authors :: Vivek Bafana || Omkar Dukhande || Rudra Palande || Priya Porwal
Page No. :: 10-16

A real time sign language is important in facilitating communication between deaf people and general people. Machine learning relies on recognition of a pattern in data and the concept that computers can learn without being programmed by programmers to perform certain specific tasks; researchers in artificial intelligence wanted to see if it was possible to teach computers to learn from data and to improve upon it. Using Neural Network and Machine Learning algorithms application can convert the sign language and also help in predicting the next letter which we make use of daily. This paper is a brief review of a machine learning application which is Sign Language Prediction.

Keywords:ANN (Artificial neural network), Database management system, Image recognition, Machine learning, Neural networks, Prediction Algorithm, Reinforcement learning Applications, Supervised and Unsupervised learning.

[1] Maher Jebali, Patrice Dalle, Mohamed Jemni.: Towards Sign language recognition system in Human-Computer interactions. Information and Communication Technology and Accessibility (ICTA), 2013 Fourth International Conference on. IEEE, 2013.
[2] Ashish S. Nikam, Aarti G. Ambekar.: Sign Language Recognition Using Image Based Hand Gesture Recognition Techniques. 2016 Online International Conference on Green Engineering and Technologies (IC-GET)
[3] Anup Kumar, Karun Thankachan and Mevin M. Domini.: Sign Language Recognition. Recent Advances in Information Technology (RAIT), 2016 3rd International Conference on. IEEE, 2016
[4] Jeevan Musale, A P Mane.: Indian sign language recognition system using Combinational features. In: GRD Journals- Global Research and Development Journal for Engineering, Volume 1, Issue 4, March 2016
[5] Y.Fang, K.Wang, J.Cheng&H.Lu.: A real time hand gesture recognition method. IEEE, 2007


Paper Type :: Research Paper
Title :: Voice Based Automated Transport Enquiry System with GPS Enabled Tracking
Country :: India
Authors :: Amol Masal || Chetak Dhandar || Pratik Neve || Assist. Prof. Santosh Dodamani
Page No. :: 17-19

In this era of modern science there are many developments happening in the field of information technology just to ease the human efforts engineers are working on various software projects for different purpose. Differentiating our project title name our system will take input in the form of voice or speech and will work accordingly as per the input given by the user and by processing the queries regarding transportation of bus in the back end, our system will display the result. It will be helpful for the user to get the response of his transportation queries effortlessly.

Keywords: GPS, Speech Recognition, MS Speech SDK.

[1]. P. Ramakanthkumar; G. Prabhushankar; S. Ilavarasu "Analysis and Design of GPS based target tracking system and MIL-STD- 1553B Radar Target data", 2006 International Conference on Advance Computing and Communications.
[2]. Daryush D. Mehta, Matias Zanartu, Harold A. Cheyne II "Mobile Voice Health Monitoring Using a Wearable Accelerometer Sensor and a Smartphone Platform", IEEE Transactions on Biomedical Engineering (Volume: 59, Issue: 11, Nov. 2012)
[3]. Bojan Prtvar, Dragan Mihajlo Vic, Krsto Lazic " Voice over BLE case study: Using Bluetooth LE remote controller inside Googles Voice search framework", 2015 IEEE 5th International Conference on Consumer Electronics – Berlin (ICCE-Berlin).
[4]. Liu Wei, Chen He-Xin, Kong Ling-yaun, Wang Xing, "The Design of Voice Alarm System Based on ISD4002 Chips", 2008 International Symposium on Information Science and Engineering.


Paper Type :: Research Paper
Title :: Invoicing and Accounting Portal for Small Ventures
Country :: India
Authors :: Jenil Boda || AkashChaudhary || Aakash Tripathi || Chandana Nighut
Page No. :: 20-24

This prototype is to ease out the work load of a single person handling the business, one needs a software that can generate invoices and maintain the accounts of the suppliers and the customers. The license of most of the billing software are too costly and it might not be affordable to such small ventures as there are lot of risk in their business. A billing software should be user friendly such that just a glance of interface can make them understand how to use the system. Small ventures cannot invest too much behind employers thus there should be portal or software that can perform work of more people.

[1]. Mahmoud Tchikou, Eric Gouarderes, Coordinating supply chain invent-ories through common replenishment epochs European Journal of Operational Research2001, 129: 277-286.
[2]. Jennings N R, Sycara K, Wooldridge M J, A roadmap of Agent research and development Journal of Autonomous Agents and Multi-Agent Systems l (1), 1998: 275-306.
[3]. Brennerrn W, Zarnekow R, Vitting H, Intelligent Software Agents, Springem, 1998.
[4]. MuzhirShaban Ali, RabahNoory, Dua'aYaseen Al-Ani, Billing System Design Based On Environment. International Journal of Advanced Computer Science and Application Vol. 3,No. 9,2012 .
[5]. Yang Fan, Development of Invetory Management System. ZhongnanUniveristy of Economic and Law


Paper Type :: Research Paper
Title :: Criterion Analysis for Anticipating College Admission
Country :: India
Authors :: Pratik Patil || Nikhil Salunkhe || Sujit Mandal || Ditixa Vyas || Neha Kunte
Page No. :: 25-30

The system is a predictive model for engineering student's college prediction. College Admission Predictor System is a Web based application system within which students needs to enter their HSC and CET marks. Now days, problem becomes more difficult and students fail to understand which college they are likely to get admission even after going through cut-off data of previous years. The system makes use of more number of attributes for more accuracy. Accurate prediction is very important for candidate to fill the application form. Accurate prediction of the performance of college during the student admission process is also important. For this programs applying Naïve bayes and Support vector machine (SVM). This model focuses on the student selection for the university and applies machine learning algorithms to admission dataset.

[1]. Z. Wang and Y. Shi, "Prediction of the Admission Lines of College Entrance Examination based on machine learning", IEEE, 2016, s7, 10.
[2]. C.Chrysostomou, H. Partaourides, H.Seker, "Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach", IEEE-EMBC, 2017, s12.
[3]. S. Mishra, S. Sahoo, S. Mishra and S. Satapathy, "A Quality Based Automated Admission System for Educational Domain", IEEE, 2016, s10.
[4]. Xiaoyu Sun, Xia Yu and Honghai Wang, "Glucose prediction for type 1 diabetes using KLMS algorithm" IEEE, 2016, s 7, 10.
[5]. R. Jia, R. Li, M. Yu and S. Wang, "E- commerce purchase prediction approach by user behavior data", CITS, 2017, s12.


Paper Type :: Research Paper
Title :: Perceptive Moto Head Protector Using Arduino
Country :: India
Authors :: Divya Swamy || Varsha Trimukhe || Ajeet Godeshwar
Page No. :: 31-34

In this paper we have discussed how to build a safety system which is integrated with the smart helmet and intelligent bike to reduce the probability of two-wheeler accidents and drunk drive cases. It is such that the programmed microcontroller 8051 indicates whether the rider is wearing the helmet with the help of two IR sensors, the alcohol sensor MQ-3 is used to check the alcohol consumption level and piezo plates are inserted in the inner region of the helmet. [3] If an accident occurs then the piezo plates are hit and triggered and sends message to the microcontroller which sends data to the GSM and GPS module about the accident and the location where accident has occurred. [10]

Keywords: IOT, Arduino, IR sensor Servomotor, Piezo plates, Alcohol sensor MQ-3, GSM and GPS module

[1]. Dangeti Anu Preetham, Mukundala Sai Rohit. "Safety helmet with alcohol detection and theft control for bikers". 2017 International Conference on Intelligent Sustainable Systems (ICISS)
[2]. K Venkata Rao1, Shivani D Moray2, Shraddha SR3, Vandana4, Varsha K5" IOT BASED SMART HELMET FOR ACCIDENT DETECTION" (IJTRA) 2018
[3]. Sudharsana Vijayan1, Vineed T Govind2 Merin Mathews3 "Alcohol detection using smart helmet system". International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), 2015
[4]. JohnA., &Nishanth,P.R. "Real time embedded system foraccident prevention" ICECA2017
[5]. Prof. Chitte P.P, Mr.Salunke Akshay.S "Smart Helmet & Intelligent Bike System". International Research Journal of Engineering and Technology (IRJET) May-2016


Paper Type :: Research Paper
Title :: Criterion Analysis for Anticipating College Admission
Country :: India
Authors :: Pratik Patil || Nikhil Salunkhe || Sujit Mandal || Ditixa Vyas
Page No. :: 35-41

The system is a predictive model for engineering student's college prediction. College Admission Predictor System is a Web basedapplication system within which students needs to enter their HSC and CET marks. Now days, problem becomes more difficult and students fail to understand which college they are likely to get admission even after going through cut-off data of previous years. The system makes use of more number of attributes for more accuracy. Accurate prediction is very important for candidate to fill the application form. Accurate prediction of the performance of college during the student admission process is also important. For this programs applying Naïve bayes and Support vector machine (SVM). This model focuses on the student selection for the university and applies machine learning algorithms to admission dataset.

[1]. Z. Wang and Y. Shi, "Prediction of the Admission Lines of College Entrance Examination based on machine learning", IEEE, 2016, s7, 10.
[2]. C.Chrysostomou, H. Partaourides, H.Seker, "Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach", IEEE-EMBC, 2017, s12.
[3]. S. Mishra, S. Sahoo, S. Mishra and S. Satapathy, "A Quality Based Automated Admission System for Educational Domain", IEEE, 2016, s10.
[4]. Xiaoyu Sun, Xia Yu and Honghai Wang, "Glucose prediction for type 1 diabetes using KLMS algorithm" IEEE, 2016, s 7, 10.
[5]. R. Jia, R. Li, M. Yu and S. Wang, "E- commerce purchase prediction approach by user behavior data", CITS, 2017, s12.


Paper Type :: Research Paper
Title :: Inventory Management Software for Windows in Python
Country :: India
Authors :: Amogh Singh || Vimal Negi || Aaditya Tirodkar || Nida Parkar
Page No. :: 42-48

FPPL-Stockpile (FPPLS) is an inventory control software designed for home windows running gadget that uses agency aid planning (ERP) as an organisation control machine that integrates and streamlines business strategies of a distribution organisation that shops merchandise in a warehouse earlier than delivery them to clients. It governs lateral transshipments to preserve the stock level above the empty line. on the quit of the method reports could be generated which can be used for agency's acknowledgment. This have a look at is executed at a production agency that has been running manually but having problems in control on lots of raw fabric and components in production shop ground and distribution............

Keywords- Stockpile, lateral transshipment, agency useful resource planning (ERP), record generation.

[1]. Ooi Chun Wei, Rosnah Idrus and Nasuha Lee Abdullah "Extended ERP for Inventory Management: The case of a Multinational Manufacturing Company", 2017 fifth International Conference on Research and Innovation in Information Systems (ICRIIS), DOI: 10.1109/ICRIIS.2017.8002489, July 2017.
[2]. Xueqing Yu and Lingyun Wei "Inventory management in e-commerce supply chain with lateral trans-shipment and quick response", 2018 fifth International Conference on Industrial Engineering and Applications, 978-1-5386-5748-5, April 2018.
[3]. Edward A. Silver "Inventory Management: An Overview, Canadian Publications, Practical Applications and Suggestions for Future Research", INFOR Information Systems and Operational Research, February 2008.
[4]. Brent D. Williams and Travis Tokar "A review of Inventory Management Research in Major Logistics Journals", The International Journal Of Logistics Management, August 2008.
[5]. Chih-Chin Liang "Inventory Prediction in a Food processing and Distribution Company", 2013 5th International Conference on Service Science and Innovation, 978-0-7695-4985-9, 31 May 2013.


Paper Type :: Research Paper
Title :: Restaurant Review Analysis and Classification Using SVM
Country :: India
Authors :: Veda Waikul || Onkar Ravgan || Aruna Pavate
Page No. :: 49-52

The paper here presents a classification machine learning model to classify restaurant reviews. The reviews can be anything which are related to the food of the restaurant, staff of the restaurant and also overall review of the restaurant. The model uses Support Vector Machine (SVM) algorithm for classifying the reviews. The classified reviews are helpful for the restaurant to analyze their shortcomings in different areas and improve the quality of food and service in the restaurant. The reviews are stored on the cloud and can be accessed by the admin.

[1] F.M Takbir Hossain, Md. Ismail Hossain, Ms. Samia Nawshin, ―Machine Learning Based Class Level Prediction of Restaurant Reviews‖, 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) 21 - 23 Dec 2017, Dhaka, Bangladesh, Pg 420 – 423
[2] Toshihiko Yamasaki, Masafumi Yamamoto, and Kiyoharu Aizawa, ―Review-Based Service Profiling and Recommendation‖, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), Pg 377-380
[3] Yan Zhu, Melody Moh, Teng-Sheng Moh, ―Multi-Layer Text Classification with Voting for Consumer Reviews‖, 2016 IEEE International Conference on Big Data (Big Data), Pg 1991-1999
[4] Ling Li*, YaZhou, Han Xiong, Cailin Hu, Xiafei Wei, ―Collaborative Filtering based on User Attributes and User Ratings for Restaurant Recommendation‖,2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Pg 2592-2597
[5] Sanjukta Saha, Dr.A. K. Santra , ―Restaurant Rating Based on Textual Feedback‖, 2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)


Paper Type :: Research Paper
Title :: Engineering College Recommendation and Prediction of Cut-offs
Country :: India
Authors :: Yash Jagda || Mihir Jethwa || Jatin Metar || Amruta Sankhe
Page No. :: 53-57

We are living in a generation in which education plays a key role to one's life. The awareness of education is more than at any other time. There is hardly an industry which does not require education. Education organization are one of the important part of our society and playing a vital role in growth and development of a nation. Considering, Engineering a branch of education. A lot of student from Junior College entering an Engineering college for an important period of their life to make a career have a problem in searching college for a particular branch according to their marks .To solve this issue, we are aiming to develop a website or web-based application where student can enter marks and are give a result of eligible college and branch............

Keyword: Machine Learning, Prediction Algorithm, Simple Linear Regression, Database Management System, Recommendation System, Supervised and Unsupervised Learning.

[1]. Mrunal T V, Amartya Singh, C Suhas.: Class Result Prediction using Machine Learning for 2017 International Conference On Smart Technology for Smart Nation .
[2]. Andy Liaw and Matthew Wiener.: Classification and Regression by Random Forest
[3]. Michael J. Pazzani and Daniel Billsus.: Content-based Recommendation Systems
[4]. Anand Shanker Tewari , Kumari Priyanka.: Recommendation System using Content Filtering
[5]. Introduction to Decision Trees and Random Forest..


Paper Type :: Research Paper
Title :: Customer Relationship Management System for Barmadas Ltd
Country :: India
Authors :: Piyush Pagdhare || Chandan Nachanekar || Amruta Sankhe
Page No. :: 58-62

CRM is the strategic use of information, process, technology, and people to manage customer's relationship with your company (marketing, sales, services and support) across the whole customer life cycle. Customer relationship management (CRM) is a widely implemented strategy for managing a company's interaction with customers, clients and sales prospective. Customer relationship management is a term that refers to practices, strategies and technologies that companies use to manage and analyse customer interactions and data throughout the customer lifecycle, with the goal of improving business relationships with customers.

[1] S.Ummugulthum Natchiar "Customer Relationship Management Classification Using Data Mining Techniques", International Conference on Science, Engineering and Management Research, 2014, pp 223- 234.
[2] Bergeron, B. Essentials of CRM: Customer Relationship Management for Executives. John Wiley & Sons. 2001.
[3] Bibiano, Luis H; Pastor, J.A; Mayol, E. Organizational Issues in CRM System Implementation Projects. Proceedings of the IADIS 2009, Barcelona.
[4] Ruey-Shun Chen, Ruey-Chyi Wu and J. Y. Chen, "Data Mining Application in Customer Relationship Management of Credit Card Business", in proceedings: International Computer Software and Applications Conference (COMPSAC'05), IEEE, 2005.
[5] Abdul Wajid, Pan Junjun, Adeel Akbar, Muhammad Ali Mughal, "WebGraveStone: An online gravestone design system based on jQuery and MVC framework", Computing Mathematics and Engineering Technologies (iCoMET) 2018 International Conference on, pp. 1-6, 2018.


Paper Type :: Research Paper
Title :: Cloud Based College Enterprise Resource Planning (ERP)
Country :: India
Authors :: Pavankumar Kamath || Harshit Shetty || Adit Patil || Jeet Bafna || Rushikesh Patel || Prof.Mahendra Patil
Page No. :: 63-67

Systems currently being used in the organization is manual and requires a lot of labor work. Our system aims to automate the entire admission process making it easy for students as well as staff. This will also provide a centralized database due to which the accessing of data at critical moments will be a walk in the park. Staff would be able to access and update each student's data with ease.Once the details are fed, there is no need
for various persons to deal with separate sections. Only a single person is enough to maintain all the reports.

Keywords- Web application, Online Admission, ERP, Online Result.

[1] Leo Zornada MSc. & Tamara Bertok Velkavrh MSc. "Implementing ERP Systems in Higher Education Institutions", 27th Int. Conf. Information Technology Interfaces ITI 2005, June 20-23, 2005, Cavtat, Croatia
[2] Alemayehu Hailu and Syed Rahman, "Evaluation of Key Success Factors Influencing ERP Implementation Success," 2012 IEEE Eighth World Congress on Services, 978-0- 7695-4756-5/12 $26.00 © 2012 IEEE DOI,10.1109/SERVICES.2012.74
[3] Wei She and Bhavani Thuraisingham, "Security for Enterprise Resource Planning Systems," Information Systems Security, 16:152–163, 2007 Copyright © Taylor & Francis Group, LLC ISSN: 1065-898X print/1934-869X online DOI: 10.1080/10658980701401959
[4] Ahed Abugabah & Louis Sanzogni, "Enterprise Resource Planning (ERP) System in Higher Education: A literature Review and Implications," International Journal of Human and Social Sciences, 5:6 2010.
[5] R. Addo-Tenkorang and P. Helo, "Enterprise Resource Planning (ERP): A Review Literature Report," Proceedings of the World Congress on Engineering and Computer Science 2011 Vol II WCECS 2011, October 19-21, 2011, San Francisco, USA, ISBN: 978- 988-19251-7-6, ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)