Computer Engineering - Project Reports

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Browsing Computer Engineering - Project Reports by Subject "Project Report - CE"

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    Android app for conference alert
    (AIKTC, 2018-05) Ansari, Mukhtar; Deshmukh, Ravish Z. (14CO21); Shaikh, Faizan Q. (15DCO64); Khan, Darakshan (13CO07); Ansari, Bilal Z. (14CO23)
    Conference is nothing but the group of people coming together to discuss some topic or finding solution for some problem. This paper mainly focuses on Academic conferences such as developing an Android application for academic conferences alert such as IEEE paper conferences etc.This application provide the user with the information about the conferences with the Venues,Date and Timing that will make will easier to attend the conferences that are going to be held.Scrapping is also going to be done to get the data.This application will make it easier for the user to know about the conferences.
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    Authentication of marksheet using QR code
    (AIKTC, 2018-05) Khan, Mubashir; Mungi, Abrar N. (15DCO57); Sayyed, Mehfooz (14CO44); Khan, Mustafa (14CO36); Shaikh, Mohd.Saad (15DCO72)
    In today’s digital world we have often hear the news about fake marksheet and unauthenticated certificate, and as we all know that marksheet is very sensitive document and no one wants to carry the hard copies of their marksheet as there is a chance of misplace of it, so it is a big challenge to provide security and authenticity of digital data. Our aim is to provide a digital marksheet which can’t be modified from third party and also user can access their marksheet in any smart device. Digital marksheet is generated through the QR code and in that modification is not possible. And also if someone wants to verify whether the marksheet is genuine or fake then instead of writing applications to Universities and Institutes they just have to scan the QR code.
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    E-logistic system
    (AIKTC, 2018-03) Sheikh, Javed; Gigani, Heena (14DCO57); Kadariya, Usman Gani (12CO33); Shaikh, Imran M.(12CO31); Kazi, Mohid (12CO45)
    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.
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    Extracting distinctive ingredients from cuisines using data analytic techniques
    (AIKTC, 2018-05) Bodke, Kalpana R.; Khan, Shaista Agha (14CO02); Momin, Saniya (14CO04); Shivankar, Sneha (14CO08)
    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.
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    Image auto tagging
    (AIKTC, 2018-05) Khan, Tabrez; Gouri, Javed M. (15DCO48); Shaikh, Mohd. Kalam (15DCO71); Shaikh, Shahbaz A. (15DCO74); Khan, Mohd. Bilal (15DCO51)
    Due to the advancement in the field of multimedia technologies, there is an increase in the computerized and digital images. An image may contain a tree, house, mountain, etc due to which a real life object can be categorized into multiple categories. There have been several studies on automatic image annotation where they utilize machine learning techniques to an- notate digital images due to its need. Face detection and recognition is already being used in many real world applications. The traditional methods of retrieving an image such as annotating images manually is time-consuming and expensive, especially for an continuously increasing image database. The problem in the existing applications is that it does not tag the other ob- jects present in the pictures, and sometimes they also have a problem with tagging people. In this paper, we propose a system of automatic image annotation using convolutional neural net- works that takes into account the texual queries or keywords and searches for the related in the database. Image auto-tagging is a classification task that aims to tag or label an image by identifying the objects present within the same image. This new system also has an advantage of automatically determine the image on the basis of the keyword entered by the user. It can also be used to improve information content for the description of the image.
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    Intelligent hands free speech based SMS system on Android
    (AIKTC, 2018-05) Ansari, Mukhtar; Inamdar, Mohsin (15DCO58); Khan, Arshiya Bano (15DCO46); Shaikh, Shaheda (15DCO75)
    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
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    News validation system
    (AIKTC, 2018-05) Khan, Tabrez; Shaikh, Mohd. Nooralam (14CO48); Pawaskar, Sufiyan (14CO37); Rane, Pradnyesh (14CO41)
    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.
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    Priority based cab search engine
    (AIKTC, 2018-05) Sheikh, Javed; Morbiwala, Quid Z. (14CO40); Shaikh, Shanawaz (14CO49); Pipewala, Taha (14CO38)
    In last two years, the rapid development of Internet based ride-sharing has brought great changes to travel pattern of residents. By comparing the trip records of OLA and UBER there is a big market in this industry of internet ride sharing.The technologies that are used for the implementation are firebase database,REST API and Android Studio.The security login authentication to the system is firebase Google authentication This paper shows the implementation of comparison of the price, distance and time by car selection of OLA and UBER .
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    Smart greenhouse system based on IoT
    (AIKTC, 2018-05) Khan, Mubashir; Pawle, Musa A. (14DCO60); Peerzade, Nilofer (14DCO62); Thakur, Atif U. (14DCO69); Gigani, Meenaz (15DCO47)
    Today, convection agricultural is now improving to emphasise the productivity of the field. The agriculture, production becomes nowadays important in two terms quality and quantity. Under the Bureau of Indian Standards IS 15930(Part 1): 2010 requirements for good agricultural practices have been prescribed. From the research work of Mr S.K. Jadhav el at 2016, information like crop period, whether pruning is the foundation or forward pruning and appearance of infection of downy mildew etc, his team suggests various preventive measures and different pesticide treatments[5]. They conclude that the knowledge-based system will be helpful to an agricultural professional to take decision-related to the management of crop. Today‘s scenario was facing the problem of less space and more output. Overall expenditure of agricultural field reduced to half of its value. Use IOT based smart agricultural system give new research area in field. India’s food deficient was changed to leading agricultural status. 21st-century the market is facing the main problem of “smart customer”. In this plight, technology is playing a vital role to uplift the agricultural production. Due to boom explosion in population, there is a vast improvement in agricultural machines over last century. As humans are making more relevant them self with monitoring systems, GPS locators, maps and an electronic sensor, these technologies start taking the stand in the agricultural field. Agricultural engineers work on planning, supervising, and managing the building of dairy effluent schemes, irrigation, drainage, and flood and water control systems. They aim to conserve soil and water and to improve the processing of agricultural products. In this paper, there is a survey on the technical aspect of agriculture.
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    Travel offline virtual support through locational reminder and suggestions using data analytics
    (AIKTC, 2018-05) Bodke, Kalpana R.; Khan, Mahir Ali (15DCO50); Shaikh, Arfat I. (15DCO63); Shaikh, Farhan F. (15DCO65)
    The combination of smart phone and web service is that the trend of the longer term data development and software applications. As the tourists are provided with printed guide booklet to find out interesting places during the visit. As the tourists are unaware of up to date information and proper navigation, tourists are not able to visit all the destinations. Mobile phones were normally used for communication purpose. Travel offline virtual support through locational reminder and suggestions using data analytic. The web and Android application developed to show how the architecture works and has a lot of important features for tourists such as book- ing, maps and places, events, weather, travel partner and many others discussed in this paper. Nowadays mobile phones are used for various technologies like GPS and browsing over Inter- net. Mobile phones are equipped with various functionality. We can use this functionalities in our system. The proposed system provides many services to the users like displaying the short- est route between the sources and destinations the tourist specify. We are using data and web scrapping to get the data from the websites .we will be using various API available in market for maps and navigation purposes. The application gets the current location of the user through GPS in the form of longitude and latitude and this information is send to the server. Goal of this project is to guide the tourists to travel on their own. The web and Android application developed to show how the architecture works
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    Web portal on conference alert
    (AIKTC, 2018-05) Ansari, Mukhtar; Shaikh, Uzair Ahmed (13CO59); Mohammad, Hamid (13CO46); Bind, Rahul A. (13CO20); Siddiqui, Mohd. Sharique (11CO45)
    We are highlighting on the topic of Conference Alert, which is very fundamental approach for the people. Those who are interested in conference alert. For such types of people at the beginning has to visit several sites to collect the information about the conference, it requires a lots of time wasting to achieve the proper information. We are developing a web-portal on conference alert through the scraping from different web sites. Where all the users will get proper information about the conference without the wasting time and it will also notify to the user on which date and time the conference will be going too held on. The library that we are going to use to extract the data from different websites by using Beautiful Soup. It is an incredible tool for pulling out the information from a web pages. You can use it to extract tables,lists, paragraph and you can also put filters to extract information from web pages. Python idioms and few simple methods are provided by Beautiful Soup for navigating, searching, and modifying a parse tree. It is a toolkit for dissecting and extracting a document or information what you need. It required less code to develop an application.