Name: Adarsh D
Type: User
Bio: 🚀 Full-stack dev (MERN, React Native, Flutter) | Sharing insights & tutorials | Empowering through tech 💡
Location: Bengaluru, Karnataka
Adarsh D's Projects
Accenture pre hiring learning modules - tekstac
This is a Flutter Application for Dog Breed Recognition. Tensorflow lite is used for creating the ML model
Email Spam Detection
This is a react-redux app
This is a dictionary application developed using flutter
Flutter Travel App UI
Food App UI - React Native
Github Statistics of an user
An android application which logs in users through sending an OTP to their mobile number and register the user. Then the app check for the paired devices and if it's a bulb. the connection will be successful. The bulb can then be controlled using the app.
This is a simple project to detect the malaria infected people by their blood samples using Machine Learning. Random forest classification is used in this project. The accuracy is around 90%. The data-set used is the real data-set. The data-set is obtained from Kaggle.
Movie recommendation system developed using python
A simple application to explore java, react and features
Flutter application to fetch news from different sources all at a single application
State of the Art Language models and Classifier for Kannada, which is spoken predominantly by Kannada people in India, mainly in the state of Karnataka
Notes taking application in Angular and MyScript
Optical Character Recognition
This is an online quiz / exam website where the admin can add the tests, remove the tests, remove the users, view statistics, view ranking, set the test timer and also check / view feedback. This is developed in HTML5, CSS3, Javascript, PHP. The database is used is MySQL.
This is a React Native Application developed on top of OpenAI APIs
This code is used to sign up an user to the parse server (back4app) through the web browser / web site.
Reactive Signup form built with Angular using custom validators
The main objective of this project is to compare the given resume with application of job description in the company and give suitable result in terms of percentage and to score a resume and visualize it.