ashu-dadhich Goto Github PK

malaria-app-android

mifosx

NOW DEPRECATED. All development occurs on Apache Fineract (https://github.com/apache/incubator-fineract).

ml_intern

mobile-app

This is a repo to help start the etouches integration.

music

Assignment

networking

Compilation of programs and some books related to networking

nith-app

The official App of NIT Hamirpur

open-event-android

Open Event Android App Generator

open-keychain

OpenKeychain is an OpenPGP implementation for Android.

opencv-blink-arbiter

Android eyes blinking counter supplied via OpenCV library.

powerup-android

PowerUp is an educational choose-your-own-adventure game that utilizes a users uploaded curriculum to empower pre-adolescents to take charge of their reproductive health. This is the Android version of the game.

project_jim

JIM src

quickstart-android

Firebase Quickstart Samples for Android

rajuni

ru-app

Used to be the official APP of rajasthan University(My first Live project)

self-service-app

Repository for the Mifos Android Self Service App for clients

spoj_solutions

Code for classical problems on spoj mostyle cpp

stock-hawk

An Android app for monitoring stocks. This will replace Project 3 in the Android Developer Nanodegree.

textjustify-android

:page_facing_up: Android Text Full Jusiftication / Wrapping / Justify / Hyphenate - V2.0

tutorial

Guthub desktop

uniraj

Official App RajUni

vpan

One of the major challenges the blind community face today is navigating from one place to another and most of the time they are dependent on some other person for that. Tools have been made which allow them to ease outdoor navigation through the use of GPS [1, 2, and 3]. Since GPS does not work accurately in indoors as compared to outdoors therefore its credibility in guiding the user towards his destination cannot be trusted upon. VPAN system is an effort to overcome this limitation of GPS systems and assist visually impaired and blind people in navigating indoors. At the backend it relies on google cloud platform for doing its computations and in the front-end there would be a smartphone for processing the generated results required to guide the user to its destination. Location Approximation is done by creating a structural map (vertex labelled graph) of the whole building using images of the various points inside the buildings used as reference points[4] and in order to approximate the location of user we use the user’s field of vision with those already stored images inside our cloud. Although the results are still not enough to provide strong conclusions, they indicate that the system is suitable to guide visually impaired people through an unknown built environment and as the accuracy is concerned we can confidently say it’s up to 2.5 meters (approx.) based on the various trail runs.

whatsapp-key-db-extractor

Allows WhatsApp users to extract their cipher key and databases on non-rooted Android devices.

work_dome