Hospital management system, HTML, CSS, Python, The Hospital Management System (HMS) is a web-based application developed using HTML, CSS, and Python to manage hospital operations efficiently. It helps in organizing patient information, doctor schedules, appointments, billing, and medical records. The frontend uses HTML for page structure and CSS for styling, creating a responsive and user-friendly interface. Users can easily navigate through forms for patient registration, appointment booking, and record viewing. The backend is powered by Python with frameworks like Flask or Django, handling server-side operations such as form processing, authentication, and database management. Key features include patient management, doctor scheduling, appointment booking, and invoice generation. Data is stored securely in databases like SQLite or MySQL, using Python's ORM for easy access and updates. This system reduces paperwork, minimizes human error, and improves the overall efficiency of hospital administration, making it a practical solution for healthcare facilities. Bus Reservation System, MERN STACK, WEB, The Bus Reservation System is a web application developed using the MERN stack - MongoDB, Express.js, React.js, and Node.js - to provide a seamless online ticket booking experience. It allows users to search for buses, view schedules, select seats, and make reservations efficiently. The frontend, built with React.js, delivers a responsive and user-friendly interface where users can log in, browse available routes, book tickets, and view booking history. The interface supports real-time seat selection and smooth navigation. The backend, powered by Node.js and Express.js, manages API routes, handles booking logic, and communicates with the MongoDB database, which stores details such as buses, users, schedules, and reservations. Admin users can manage routes, buses, and bookings through a secure dashboard. Optional features include payment gateway integration, email confirmations, and ticket cancellation. MEET AI, Next.js, Exploring AI to improve productivity and decision-making.