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Hi πŸ‘‹, I'm Ayush Rawat

A passionate Flutter developer from India. I love creating flutter apps. I'm eager to learn as well to teach flutter.

fueledbynokia

  • πŸ”­ I’m currently working on Space

  • 🌱 I’m currently learning Machine Learning & AI

  • πŸ‘― I’m looking to collaborate on Space

  • πŸ’¬ Ask me about Flutter , Python

  • πŸ“« How to reach me [email protected]

  • ⚑ Fun fact Keep it Simple,State

Connect with me:

fueledbynokia fueledbyoxygen decade

Languages and Tools:

csharp dart flutter python unity

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Ayush Rawat's Projects

movies_app icon movies_app

Movies App is a flutter app that will show you the list of movies with the poster and other details such as star cast, directors etc.

newshot icon newshot

NewsShot is a news aggregator that organizes and highlights what’s happening in the world so you can discover more about the stories that matter to you.Dive deeper into a story with multiple perspectives. The Full Coverage feature organizes everything online about a story, surfacing and highlighting coverage from different outlets and mediums.

olympics-sql icon olympics-sql

This SQL prokect uses data to explore the history of the Olympics. It looks at the most popular sports, the most successful countries, and the athletes who have made history.

project-boast icon project-boast

Project Boast is fun 3D game where you have to save a rocket from the collison. and make way to its destination.

routinetracker icon routinetracker

Routine Tracker is a flutter project where you can track daily activities such as daily habits, water tracker, periods tracker etc.

spotube icon spotube

A lightweight free Spotify 🎧 crossplatform-client πŸ–₯πŸ“± which handles playback manually, streams music using Youtube & no Spotify premium account is needed 😱

tourist-product-purchase-prediction icon tourist-product-purchase-prediction

The Travel Package Purchase Prediction dataset on Kaggle. It contains data on travel package purchases by tourists. The goal of the project is to use this data to build a machine learning model that can predict whether or not a tourist will purchase a travel package.

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