Published Paper Details:

A chatbot using Python programming language for a college campus to improve communication and accessibility among students, parents, faculty, and staff. The chatbot will be trained on a dataset of frequently asked questions and information about the campus using NLP techniques. It will be deployed on the college campus's website or social media platforms using Python web frameworks. The chatbot's effectiveness will be evaluated through user feedback, and the data collected will be used to enhance its capabilities. The chatbot will provide a personalized and convenient way for students to access information, and it will reduce the workload of administrative staff.In this project, we have developed a drone equipped with GPS tracking and mission planning capabilities using Raspberry Pi and Pixhawk. The drone is capable of autonomously flying over a designated area and providing basic medical assistance to the emergency situation specifically on those areas that are difficult to reach for the common vehicles and also when emergency vehicles are stuck in traffic, which can be used to optimize various applications. We have also developed a mission planning software that allows users to easily plan and execute missions for the drone. The proposed Electric vehicle control system is implemented on a prototype tricycle chassis. Overall, the paper proposes a cost- effective motor drive control system for electric vehicles, with closed-loop PWM control and an electronic differential control loop. It offers efficiency, reliability, and a smooth driving experience, making it an ideal solution for sustainable transportation and a significant contribution to the field.