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🎶 Scripts for music feature analysis, model training, and real-time recommendation using Apache Kafka. Extract features with Librosa 🎹, store them in MongoDB 🗄️, and process the data with Apache Spark ⚡. A 🌐 web interface 💻✨ is also included. Contributors: Tashfeen Abbasi 👤, Laiba Mazhar 👤, and Rafia Khan 👤.
A solution centered around AI-driven scheduling, designed to optimize staff allocation, enhance patient care, and streamline hospital operations. It integrates advanced scheduling algorithms that prioritize staff preferences, ensure designated days off, and dynamically allocate doctors, nurses, and receptionists based on demand and availability.
This project aims to scrape all product data from the Tiki website in June 2023 and store it in a MongoDB database. The collected data can then be analyzed and used for various purposes 🕸️
A Repository created to describe the usage of pymongo a Python-MongoDB driver to connect, insert, select, update and delete Documents with MongoDB database.
This project is developed for reducing the manual work for both staff and students in educational institutions. This application is used for filling online forms automatically.