Pinned Repositories
abbot-arrow
A implementation for JIT CUP
asdf
assignment_3
astonishing-half-wit
Decodes the matrix in image
codechef-hacka-frontend
frontend
dotfiles
as in name
img2pdf
takes images, give pdf
psygen
Gravity Simulator
scripts
Simple hacks
tusqasi's Repositories
tusqasi/astonishing-half-wit
Decodes the matrix in image
tusqasi/codechef-hacka-frontend
frontend
tusqasi/elixir_rest_api
A basic rest api created with elixir. https://blog.logrocket.com/build-rest-api-elixir-phoenix/#what-is-elixir-and-phoenix-web-framework
tusqasi/imagini_transfiguro
take a image from your computer and filters it and sends it to you back.
tusqasi/Milkyway
tusqasi/potent-rusty-api-tester
potent-rusty-api-tester
tusqasi/sore-mirror-2
controller
tusqasi/sore-mirror-renderer
The thing which renders the actual drone and has the simulation part for the drones.
tusqasi/VatsalyaImageStore
tusqasi/Ahhh-
tusqasi/anyname
tusqasi/blind-lumpy-cake
Finds and decodes the binary info in a 2x2 matrix.
tusqasi/cache
Lite & fast micro PHP cache library that is **easy to use**.
tusqasi/digitize_management_app
tusqasi/everything-pokemon
A one stop shop for everything pokemon
tusqasi/eyantra_renderer
telemetry plotter
tusqasi/flipflopblog
Tusqasi's blog
tusqasi/flutter-tools.nvim
Tools to help create flutter apps in neovim using the native lsp
tusqasi/flutter_textfield_search
FTFS is a Flutter package which uses a TextField Widget to search and select a value from a list. It's a simple, lightweight, and fully tested package unlike other "autocomplete" or textfield search packages with 100% code coverage.
tusqasi/friendly-snippets
Set of preconfigured snippets for different languages.
tusqasi/gitworkshopproject
Test Repo
tusqasi/LinkFree
Connect to your audience with a single link. Showcase the content you create and your projects in one place. Make it easier for people to find, follow and subscribe.
tusqasi/lsp_signature.nvim
LSP signature hint as you type
tusqasi/pokeapi
The Pokémon API
tusqasi/Rainfall-Prediction
This project aims to predict rainfall using machine learning techniques. It utilizes historical weather data and applies machine learning algorithms to predict rainfall for future time periods. The prediction model is built using Python programming language and popular machine learning libraries.
tusqasi/renter_rml_client
Client for renters
tusqasi/sore-mirror-server
Websocket server for sore-mirror components to talk to, the remote, controller, and renderer
tusqasi/ttt
Tic-Tac-Toe in elixir
tusqasi/vxp
Vatsalya X Pragya Seed Ball challenge
tusqasi/waffle
Flexible file upload and attachment library for Elixir