Avaiyang Garg
avaiyang
Graduate Student at New York University.
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The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
Repositories
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The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.
This is a python web sever socket programming
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We have built an application which will help you identify the pill with just a click of it and also let you know the ingredients and use of the medicine.
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Planning a day has always been a problem when we need to figure out which events to attend without missing a class every semester. There are lot of events which happen at NYU but it is difficult to keep a track of them due the large count. We do not want to miss the class and want to attend the interesting events which do not overlap with the class schedule. We wanted something which could help us plan the day effectively and this motivated us to build this web application.
Everybody loves eating food and want to try something new. But sometimes we don't know what it is and what are ingredients. See we wanted to built something exactly what it is and it's ingredients by looking at it.
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With the help of a trusty webpage we can capture a live shot or supply a picture from local storage which goes through Clarifai's api and supplies keywords for twitter hashtags, which are automatically posted on your twitter wall i.e. picture + hashtags by using twitter api.
During my everyday commute between college and home, I often encounter homeless people asking for food and I've also seen people overestimating their requirements and wasting huge amounts of food, which sparked an idea in our head to solve the two problems by bridging the gap between them using Technology.
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