Android Based Virtual Tour Application, 2016.

Abstract: A virtual tour is a simulation of an existing location, usually build-up of a sequence of videos or still images. It may also use other multimedia elements such as sound effects, music, narration and text. Our project focuses on providing a virtually interactive simulated environment of a place on android platform. Main objective is to highlight the architectural features of the place to the users.

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Solving knapsack problem by using Genetic Algorithm, 2017.

Abstract: In this project we are solving 0-1Knapsack problem in which benefit of objects in a knapsack is maximised such that capacity of knapsack should not be exceeded .Other approaches to solve knapsack problem like dynamic programming, backtracking, branch and bound results in higher complex solutions. Genetic algorithm prove to be the better approach in obtaining solutions to problems which were previously thought to be computationally infeasible example knapsack problem.

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Sleeping Driver Detection along with Safety Measure, 2017

Abstract: Our main motive is to make a project based on a system that will help driver to stay alert on the road as well as driver handle the vehicle only in the conscious state i.e. will be able to drive only when the person is non-alcoholoc and when the person is wearing seal belt along with the security features with the use of Radio Frequency Identification (RFID).

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Network Administration Management, 2017

Abstract: In this growing age of internet communication through chat applications is the most basic and convenient method used by everyone. We have seen so many chat applications like What’s app, Hike, messenger, etc. All these applications have millions of users worldwide for instance What’s app has about 500 million users worldwide and if we only consider India we have about 150 million active users. What’s app uses the simplest protocol, if the user simply creates his account and can communicate with any other users who has a registered account through their numbers.

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Sentiment Analysis, 2018

Abstract: Sentiment Analysis or opinion mining is one of the major tasks of NLP (Natural Processing Language). This sentiment analysis has gain importance in recent years. In this paper, we aim to deal with how the sentiments can be analysed and letting the customers know easily about the product. The general process of the working of the same with algorithms is proposed in the methodologies and research design. Data used in this paper are collected from online product reviews on amazon.com and flipkart.com. At last, we also gave an insite of the future works that can be done on sentiment analysis.

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Offline Handwriting Recognition Using Neural Networks, 2018

Abstract: Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources which are offline as well as online. The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip  may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available.

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Recognition of Handwritten Mathematical Equations, 2018

Abstract: The aim of this project is to develop an assistance system that analyses the handwritten mathematical equations based on handwriting recognition algorithms. The system will be able to recognize images of handwritten equations and output the corresponding characters in LATEX.

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IOT Based Air and Sound Pollution Monitoring System, 2018

Abstract: The growing air and sound pollution is one of the serious issues these days. This large amount of increasing pollution has made human life prone to large number of diseases. It has now become necessary to control the pollution to ensure healthy livelihood and better future. The Air and Sound Pollution Monitoring System device will be accessed by not only the authorities but also the common people belonging to the area where the device will be installed through a mobile application which will show the live updates of the pollution level in that area. This device can detect the fire in its area and notify the same to the fire brigade authorities so that they could take necessary actions accordingly, and also the mobile applications will be installed in the fire brigades itself so that if a fire is taking place nearby, it could be controlled in time to reduce loss of people and property. This system works on the methods of IOT which is a rising technology based on the fusion of electronics and computer science. The embedded sensors in the system help to detect major air polluting gases such as CO2, SO2 and CO and level of sound pollution. The concept of IOT helps to access data from remote locations and save it in database so that we don’t need to actually be present in that area.