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Amrutha U's Projects

amazon-electronics-recommendation icon amazon-electronics-recommendation

Conducting an exploratory analysis on collaborative filtering recommendation algorithms, this study examines memory-based approaches such as item-based, user-based, and model-based SVD using the Amazon Electronics recommendation dataset.

cdl-platform icon cdl-platform

TextData is an online and open-source platform that helps you save what you know and find what you don't. We offer a stand-alone website and a Chrome extension.

distsyssuite icon distsyssuite

A comprehensive toolkit for exploring and building distributed systems. This repository includes a suite of tools that cover fundamental operations like distributed log querying, failure detection, and file management within a distributed environment. DistSysSuite serves as a platform for understanding the core concepts of distributed systems

djangotunes icon djangotunes

"DJangoTunes" is a Django-powered music player with SignUp/SignIn, play/pause functionality, song search/filter, and playlist management. Users can easily add/remove songs to playlists and mark favorites. The app offers a scrollable history of recently played tracks and intelligent song recommendations for seamless music exploration.

smart-pantry icon smart-pantry

Smart Pantry establishes a dynamic marketplace for food management, enabling users to seamlessly organize their pantry, efficiently handle surplus items, engage in purchasing from others, and explore a diverse range of enticing recipes, all accessible within a user-friendly web application.

text-to-sql icon text-to-sql

This project introduces a framework to evaluate Text-to-SQL Large Language Models (LLMs) using TPC-DS benchmarks. By transforming queries into natural language, we assess LLMs' effectiveness in SQL generation. Challenges like complex joins, sub-queries and parsing difficulties underscore the need for optimizing LLMs for complex data analytics.

tokyo-olympics-analytics icon tokyo-olympics-analytics

A comprehensive analysis platform for the Tokyo 2020 Olympics data. Leveraging MySQL, Node.js, and React.js, this project offers CRUD operations and insightful analytics, including athlete details, medal tallies, and event statistics. Dive into the world of Olympic data with ease and precision.

yacs icon yacs

A Python-based simulation of a Hadoop 1.0 centralized job scheduler and resource allocator. Implements features like task dependency resolution, fault tolerance, and support for randomization in a distributed system. Utilizes multi-threading, sockets, and synchronization for efficient scheduling of MapReduce jobs.

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