News validation system
Tue, 01 May 2018 00:00:00 GMT
Title: News validation system Authors: Khan, Tabrez; Shaikh, Mohd. Nooralam (14CO48); Pawaskar, Sufiyan (14CO37); Rane, Pradnyesh (14CO41) Abstract: The news is an information of particular interest that was not known in the past, the information implied by news should be accurate and reliable. There are millions of news shared over social media each day without validation. Currently, there exists no resource that could validate whether any news article is giving valid information or not. Here comes the existence of News Validation System. There are various news analysis methods that would validate news. Our news validation system implements methods that would be more feasible, accurate and reliable out of all methods present for news validation. Our system will go with a hybrid approach. A hybrid approach is the combination of both linguistic and network approach, this approach is developed by integrating advantages of linguistic and network approach and by eliminating their drawbacks. It has components like authentic source identification, date validation, data collection, comparison and support analysis. All these parameters will conclude in well formed results. The system will feed upon a normal text of information in the context of news articles, the output of the system will be a probability percentage, that would tell at which extent the information is reliable and valid. Our work in news validation system can help cut down potential misleading information in the news and we can make sure that everyone gets reliable, dependable, authentic and accurate information. Description: In Partial Fulfillment of the Requirement for the Award of Computer engineering
Extracting distinctive ingredients from cuisines using data analytic techniques
Tue, 01 May 2018 00:00:00 GMT
Title: Extracting distinctive ingredients from cuisines using data analytic techniques Authors: Bodke, Kalpana R.; Khan, Shaista Agha (14CO02); Momin, Saniya (14CO04); Shivankar, Sneha (14CO08) Abstract: Data analysis is a process which is required to analyze a given set of data. This process is very much needed today where information is extracted and transformed into a format which is easy to process and interpret. In this paper, we consider techniques for identifying and classifying ingredients and aim to explore what are the essential ingredients that are required for a given cuisine. Each nation has its own unique ingredients that make their cuisine iconic. If we look at a particular cuisine, estimating its ingredients even if there is sufficient data, is a tedious task as the ingredients of the same cuisine differ from region to region and according to the culture. The problems faced by the users in the existing search system is getting just the recipe and ingredients. It does not classify the essential ingredients required to cook a particular dish. So, we propose a project that will extract the ingredients of the given cuisine from various websites on the web with the help of web scraping tools or techniques, then display the most essential ingredients amongst them by using data mining techniques and sorting as well as filtering algorithms. Web scraping is a process of extracting data from the web world through various methods. It involves fetching a web page and extracting data from it. Data mining techniques will help predict knowledge-driven decisions. This will include performing analyses on different data sets extracted and the genuine ingredients of every individual country, identifying them and then display them after filtration. Thousands of recipes which represent different national cuisines will be analyzed so that a better output can be generated which distinguishes the common and distinctive ingredients of each nation. Only those ingredients will be displayed which are distinct and do not belong to the users location. Description: In Partial Fulfillment of the Requirement for the Award of Computer engineering
E-logistic system
Thu, 01 Mar 2018 00:00:00 GMT
Title: E-logistic system Authors: Sheikh, Javed; Gigani, Heena (14DCO57); Kadariya, Usman Gani (12CO33); Shaikh, Imran M.(12CO31); Kazi, Mohid (12CO45) Abstract: Abstract—In most of the cities, the transportation industry is highly regulated and utilizes the traditional techniques. However, people faces many problems such as searching for the vehicle as per their requirement which results wastage of time as well as it is hectic. The purpose of our project is to build E-Logistics, an online system for the customers where they can search for the appropriate vehicle and book them for their goods transportation with live updates. The system will estimate the cost via algorithm, the required amount of time between the source and destination is calculated using Djktras/ Travelling Sales Problem Algorithm, optimal route is selected and tracking of goods carrying vehicle is done through Google Map’s API. So through our system, customer can easily search for the vehicle within his/her nearby source location as per the requirement and can get live updates that assures for delivery of goods. Description: In Partial Fulfillment of the Requirement for the Award of Computer engineering
Intelligent hands free speech based SMS system on Android
Tue, 01 May 2018 00:00:00 GMT
Title: Intelligent hands free speech based SMS system on Android Authors: Ansari, Mukhtar; Inamdar, Mohsin (15DCO58); Khan, Arshiya Bano (15DCO46); Shaikh, Shaheda (15DCO75) Abstract: SMS and Texting is an important feature of using Mobile phone and we also know that the mobile phone usage is spreading over the World rapidly and has gone through the number of features due to new techniques and Developers. This paper is based on creating an application that works on Google libraries and API’s for conversion of Text-To-Speech and Speech-To-Text converter. It also works for Searching Contact with the Alphabets and Numeric read. Mainly the goal of the project is, it is for those who not be in the position of using mobile phones for texting ,surfing on web and dialing calls such kind of the communicating features ,so we called it as an Application that is useful for society. The Application converts your text into the speech, speech into text, search a contacs manually from contact list or can be selected by taking name of a person which is voice based.We can select a multiple contacts for sending a message to multiple people at a time. Previous speech recognition system was difficult to use and it was having a lots of drawbacks, with leads in new technologies and techniques it is possible to generate a desire speech recognition system. This comes with lots of features by using an algorithm i.e Hidden Markov Model(HMM),which makes it possible to get a desire output. Another technologies are Android System, SR (speech recognition) libraries i.e. speech API’s which is used in this paper Description: In Partial Fulfillment of the Requirement for the Award of Computer engineering

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