The inspiration for NEDBot came from the need to simplify and streamline the admissions process for students interested in NED University. Recognizing the complexities and common queries students face during admissions, we aimed to create an interactive and user-friendly virtual assistant.
Throughout the development of NEDBot, we deepened our understanding of natural language processing, chatbot development, and user experience design. Handling diverse queries related to admissions, courses, and university details enriched our knowledge of creating a comprehensive conversational interface.
We built NEDBot using a combination of natural language processing libraries, chatbot development frameworks, and web technologies. The backend was implemented in Python using Flask, integrating it with a machine learning model for chatbot responses. The frontend was developed using modern web technologies for a seamless user experience.
One of the significant challenges was designing a chatbot that could effectively understand and respond to a wide range of user queries.
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