Name: Sai Allu
Type: User
Company: University of Southern California
Bio: Hello there! I'm Sai Allu, a computer science and physics student at USC. During high school, I worked on research at MIT and Northeastern.
Location: Los Angeles, California
Sai Allu's Projects
SDK and example code for building voice-enabled skills for the Amazon Echo.
The Alexa Skills Kit SDK for Node.js helps you get a skill up and running quickly, letting you focus on skill logic instead of boilerplate code.
The open source version of the Amazon RDS docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
This project can use numerical methods to accurately approximate derivatives and integrals at certain points
Emulates green screen technology used in films by replacing the background with an image while preserving the subject.
This is a PHP Laravel website using the Guzzle HTTP client to make requests to a NodeJS API.
I've successfully done nearly all of the CodingBat Java challenge questions and these are just two solutions from the hardest array category with explanations of my thought process and debugging analysis.
This is my internship project with the company Bala Lahari to design their backend email notification system for their classes. After integrating with the frontend team, we are able to send notifications to students for published grades, missing assignments, and event reminders with an easy interface for the teachers.
This is Node API to work with the Chinook open source database of musicians and artists over the centuries.
Firebase Android SDK
Firebase Javascript SDK
The Firebase Command Line Tools
This project applies the principles of genetic algorithms to generate a phrase such as "Hello World" from random phrases
Just to test question 1.
In collaboration with Professor Goodney from the USC Computer Science department. Analyzes the dataset for features and uses a machine learning model to pick the optimal sorting algorithm.
This is my first machine learning project following the tutorial for how to identify flowers using the Iris Flower Dataset published by UC Irvine.
PHP based website using SQL backend to analyze open source Chinook Database.
PHP Laravel Framework applied to analyzing open source Chinook music database to provide insights into genres and artists over the centuries.
PHP Laravel Framework applied to analyzing open source Chinook music database to provide insights into genres and artists over the centuries.
Enable Public Contributions
This is a Node.js server API which integrates with a SQLite database to provide a simple web interface to search for musicians and artists.
An open source (GPL v3) Data Center Inventory Management (DCIM) application.
This is a NodeJS app for the ITP405 final class project.
Android app to track moving food trucks around LA using real-time data from the Twitter API and Yelp API. Built at TrojanHacks.
A gardening app illustrating Android development best practices with Android Jetpack.
This is a project using Web Sockets in Node.js to build a Google Docs type application.
WebBuilder is an Alexa skill that allows users to build a website just with their voice!