Mariam Almotawally's repositories
ecommerce-microservices-app
e-commerce platform using Next.js, NestJS, MongoDB following a microservice pattern with Kafka for inter-service communication and Paymob as the Payment integration.
Sayarty
Flutter application integrated with firebase for viewing and adding car sale listings
mern-rss-feed
MERN stack implementation for a RSS feed component
spotify-genre-prediction
Analyzing Spotify's 2021 song data through data cleaning, queries implementation using SparkSQL and SparkDataframes, and genre classification using SparkML.
Ensemble-Learning-Model-Comparison
Applying Random Forest, AdaBoost, and Gradient Boosting on 3 different datasets to compare performance
expense-tracker-flutter
Simple Flutter application integrated with firebase designed to help users track their expenses. It provides a user-friendly interface for adding, viewing, and managing individual expenses.
NoSQL-Taxi-Trip-Analysis
Implement various functionalities and answer specific questions about 2 NYC Taxi Trip Datasets using NoSQL databases (MongoDB and Cassandra)
Discord-MusicReactorBot
A Discord bot project undertaken as a personal development challenge to enhance skills in Node.js, Express.js, and Discord.js. The bot automatically reacts to messages containing links from Spotify, YouTube, or Apple Music with thumbs-up and thumbs-down emojis to increase user engagement.
Help-Desk-MERN
This is a Helpdesk application made using MERN stack with a fully integrated ticketing system and additional features for Clients, Admins, Managers, and Support Agents
VisualSemanticsWithCLIP
This project utilizes CLIP embeddings for image classification, specifically focusing on differentiating between cat and dog images using the Fisher algorithm.
Regression-Project
Linear and polynomial regression models on a car sales dataset
Cairo-Metro-System-Project
Tailwind CSS, HTML, jQuery, Node.js, Express.js, and PostgreSQL used for our Cairo Metro System Website, enabling seamless ticket transactions, refunds, and admin privileges.