High-performance database management system
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Updated
Oct 16, 2025 - Python
High-performance database management system
This repository focuses on cloud computing and demonstrates how to set up virtual machines, S3, and other services using LocalStack. It provides a comprehensive guide to simulating AWS services locally for development and testing purposes.
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Centerspoke is a data management and analysis tool that allows easy access to cloud databases. Say goodbye to using excel for data management. This open-source CLI tool allows for the rapid processing and analysis of all your data, and makes it easy to upload your excel files into your cloud databases.
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A simple Smart Habit Tracker app built with Python and Firebase. It lets users sign up, log in, and manage their personal habits by adding, viewing, updating, and tracking progress, which is all stored securely in a Firestore cloud database.
HHA504 / Cloud Computing / Assignment 4a / MySQL Cloud DB
A Python tool for exporting MySQL databases with automatic dependency installation, real-time progress tracking, and gzip compression. No mysqldump required - works with local and cloud databases (AWS RDS, Google Cloud SQL, Azure).
This is a Python app you run in the terminal to track your money. You can sign up, log in, add your spending and income, set budgets, and see summaries. All your data is saved safely online with Firebase.
BioLens is an AI-powered medical intelligence tool that analyzes blood reports using a multi-model AI system. It provides personalized health insights, secure authentication, and real-time feedback, all within a modern Streamlit interface. 🚀🩺
“End-to-end data engineering pipeline for real-time weather data using Python, PostgreSQL, and Streamlit.”
A web app built with HTML, CSS, JS, and Django to connect to and alter a cloud database.
🎓 ScholarSync – A student management and chat system built using Streamlit and Firebase Firestore.
Use OccupyAI to monitor and manage university study room occupancy using computer vision and cloud technologies. This project combines Raspberry Pi, FastAPI, Docker, and Supabase for real-time data collection, secure storage, and easy deployment.
This project demonstrates database sharding using PostgreSQL with multiple shards
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