Students Projects July to Dec 2016

Project Title : Music​ ​tagging​ ​and​ ​similarity​ ​analysis​ ​for​ ​recommendation​ ​and plagiarism​ ​detection
Students : Vatsal​ ​Sanghvi​ ​and​ ​Raj​ ​Geriya
Abstract : The goal of this project is to create a automated system which can assign genres, moods and create a similarity​ ​measure​ ​for​ ​music. The main objective of this project into
classify music into genres, classify music into different moods, find​ ​plagiarism​ ​in​ ​music, cluster​ ​similar​ ​tracks.
Plagiarism in music industry is a big issue,and frequently frowned upon.Finding a similarity measure would help in finding parts of music which sound similar. Amount of music available today is just too much. To process such vast amount of data we can leverage distributed storage and processing systems like hadoop and spark. HDFS will help in storing the music files and also extracted feature information. Kafka queues can be used for asynchronous feature extraction in background and then spark​ ​can​ ​be​ ​used​ ​for​ ​feature​ ​analysis​ ​using​ ​machine​ ​learning​ ​algorithms.
Project Title : Gender Identification through twitter
Students :Bhavya Patel and Kushal Dhayal
Abstract : Nowadays people are using social media for communicate, connect, share content, and socialize across the globe. Accurate demographic attributes prediction from social media and other informal content are valuable for marketing, personalisation and legal investigation. Twitter is one of the most popular social site. Often twitter contains conversation of non standard language, so it can be challenging genre for natural language processing. Twitter does not collect user’s gender as other social media sites like facebook etc. This paper describes the large dataset label with gender and try to find out statistical models for determining gender of the twitter users
Project Title : Augmented​ ​Reality​ ​Restaurant​ ​IOS​ ​App
Students :Kunal​ ​Jain​
Abstract : In today's changing time,where quality is taking over quantity , Food services are the industry that need the most to upgrade their interaction and relations with existing and new customers in order to serve their delicious food and unique dine-in​ ​Environments.
Mobile Applications play a huge role,in the penetration of Restaurants towards advanced​ ​technologies. Applications like Zomato and Yelp are making it easier, more convenient and beneficial​ ​for​ ​customers​ ​to​ ​enjoy​ ​the​ ​services​ ​of​ ​their​ ​favorite​ ​food​ ​joint. They​ ​even​ ​offer​ ​various​ ​deals​ ​and​ ​offers​ ​to​ ​increase​ ​the​ ​sales​ ​and​ ​booked​ ​seats.
A technology for these applications that give its users a comprehensive lookout of their​ ​restaurant​ ​the​ ​menu​ ​and​ ​their​ ​food​ ​items​ ​is​ ​the​ ​need​ ​of​ ​the​ ​hour. In order to incorporate that I will propose an Application with Augmented Reality technology. That will enable to give a 360 view of each dish in correct portion rather than compared​ ​to​ ​traditional​ ​menus.
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