Shraddha Zingade (Shraddhaz)

Shraddhaz

Geek Repo

Location:San Francisco, CA

Home Page:https://in.linkedin.com/in/shraddha-zingade-5a185411a

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Shraddha Zingade's repositories

Live-Data-Streaming-over-a-Local-Area-Network

An application with live data-streaming platform that allows a user to broadcast audio-visual content from a server in a Local Area Network and clients to view the file among multiple devices connected in the same network.

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Advanced-Java-Projects

Built a set of mini-projects using Java that form an Airline service with user's command line arguments as input.

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Apache-Spark-Concentration-on-Spark-SQL

Researched about Apache Spark and Hadoop MapReduce in this project. The main concentration was given on implementing SQL for Big Data applications and using Spark SQL to achieve this.

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API_AI_Android_Application_Using_NLP

NLP using API.AI and used it in an android application that searches for a given keyword by fetching the right one from a sentence.

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Async-Programming-In-JavaScript

Implementin Callbacks, Promises, Async-Await to make a JavaScript code synchronous and readable.

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Drone-Deploy-Plan-Creation

DroneDeploy App that allows customers to import .shp/.kml/.zip files as drone flight plans.

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fem-layout

Frontend Masters: CSS Grids and Flexbox in Responsive Web Design workshop files

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js-examples

Code examples that accompany the MDN JavaScript/ECMAScript documentation

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MEAN-Stack

MongoDB, Express.js, Angular.js, Node.js: Full stack development process.

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Mime-Type-Detection

Mime-Type-Detection detects the MIME type of a file when user gives any input file.

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mimeTypes

Determines the MIME type of files based on their name and/or extension.

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Mobile-Deli-Application-using-Voxeo-Prophecy

Automated voice recognition application with voice prompts using VXML.

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node-mime

Mime types for JavaScript

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Photo-Scan-Summary

The application will give a few lines summary of the content from the image taken by the user.

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Spam-Classifier-Using-Bayes-Theorem

A classifier to classify an email as spam and non-spam using UCI spam-base dataset. Accuracy achieved was 85%

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Weather-API-using-AppInventor

Implemented an android application using AppInventor that uses a weather API to display the current date, time, temperature and forecast for the next day.

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WikiVoice-Search

Implemented NLP using Api.Ai and used it in an android application that searches for a given keyword by fetching the right one from a sentence.

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