The Online Chatbot-Based Ticketing System is designed to enhance user experience and streamline the process of booking tickets for various events, services, and travel. Traditional ticketing systems often involve lengthy processes, leading to user frustration and inefficiencies. This system leverages advanced chatbot technology to provide a conversational interface that allows users to interact seamlessly with the ticketing platform. The core functionalities of the system include real-time ticket booking, event inquiries, payment processing, and support for user queries through a natural language (...) interface. By utilizing machine learning algorithms and natural language processing, the chatbot is equipped to understand user intents and provide personalized responses, facilitating a user-friendly interaction. This dissertation discusses the design and implementation of the system, highlighting its architecture, user interface, and backend integration with payment gateways and databases. A series of usability tests and case studies are conducted to evaluate the system's effectiveness in real-world scenarios, measuring user satisfaction and efficiency gains compared to traditional methods. The findings demonstrate that the Online Chatbot-Based Ticketing System significantly reduces the time required for ticket purchasing while enhancing user engagement and satisfaction. This research contributes to the growing field of AI-driven solutions in the ticketing industry, showcasing the potential for automation to improve operational efficiency and customer experience. (shrink)

t. This paper presents a sensor-based approach to developing a gesture-controlled robotic vehicle, designed to enhance human-machine interaction in a more intuitive and accessible manner. The system translates hand movements, detected through accelerometers and gyroscopes within a wearable device, into commands that control the vehicle. Traditional methods for operating robotic systems, such as joysticks or remote controls, often require physical interaction, limiting their effectiveness, especially for individuals with disabilities or in environments where hands-free control is essential. This approach offers a (...) non-contact, real-time control mechanism, detecting hand gestures without relying on visual cues, thereby reducing computational load and ensuring stable performance even under varying lighting conditions. The implementation involves sensor calibration, data acquisition, and processing via microcontrollers such as Arduino or ESP32, coupled with a motor control system for vehicle operation. Testing results demonstrate the accuracy and low-latency response of the gesture-based control system. The primary objective is to make this technology widely accessible, offering a scalable solution for various applications, including assistive technologies and robotics. Preliminary findings confirm the system’s effectiveness, opening the door for further real-world applications. (shrink)