Laundry Management System, Developing a predictive model to analyze daily laundry usage, integrated within a web application., Implemented a web-based platform allowing users to input data and receive predictions on laundry usage., Performed code optimization and refactoring to improve the performance and efficiency of the predictive model and web application., Utilized HTML, CSS, Python, and other technologies to build and optimize the predictive model and web application. Alarm Clock, Developed a functional alarm clock application that allows users to set multiple alarms with customizable tones and snooze options., Created a user-friendly interface using Python libraries to enable easy interaction and alarm management., Implemented accurate time and date handling to ensure reliable alarm functionality and notifications., Integrated a notification system to alert users when an alarm goes off, including visual and audio signals., Provided options for users to customize alarm sounds, snooze duration, and recurring alarm settings.