VRUSHANG PARIKH (vrup0408)

vrup0408

Geek Repo

Location:Kathlal, Gujarat, India

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VRUSHANG PARIKH's repositories

News-Feed-Application

In this application user can read various news which is basically a dynamic application developed using Android Studio News-API and also user can search about any news using search bar in our app itself.

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Fake-News-Detection

Project Title itself says that it will predict the news whether it is true or false news from our given datasets and also real-time data using natural language processing, LSTM and deep learning and also by training and testing the deep learning model.

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Book-Reader-Application

In this application user can access any book and can read that book and this application is developed using Android Studio and Firebase Real-time Database.

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Live-Object-Detection-App

It is basically detecting various kinds of objects around us and displaying its predictions. Also, user can search about Flutter, Dart or anything else in the same app only.

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SQLite-Database-Application

In this particular project, User can enter or Insert their ID, Name, Surname and Marks. Also User can View it, Update it and also can delete it. Basically, It is a Simple CRUD Application with use of SQLite Database.

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Image-to-Sketch

In this project, input image or input photo is converted into sketch of that particular image.

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IPL-Data-Analytics

We have dataset of IPL from 2008 to 2020 and we have to visualize analytics on Power BI dashboard. We have to upload that dataset into data lake. After that we have to process that data through pipeline and produce modeled data in warehouse. So, that we will be able to analyze the data in Power BI through pre-defined dashboards.

Mobile-Application-Development

Use of different-different attributes or elements of Android Studio in One Practical File

Real-Time-Sign-Language-Detection

In this project it is detecting certain sign languages or our hand gestures using Deep Learning for which it can help many hard of hearing or deaf people.

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SnowIoT

The goal is to read real-time car telematic data, flatten and aggregate it utilizing Snowflake's advanced capabilities such as Dynamic tables, Snowpipe streaming and so on, in order to generate useful insights that will allow us to understand driver behavior.

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