An intelligent web app designed to assist international students with airport pickup coordination. The system uses Gemini API for natural conversation, answering FAQs and managing arrival tracking in real time.
The AI FAQ Airport Pickup Assistant was developed to improve student onboarding at universities by reducing manual coordination for airport pickups. It provides real-time conversational assistance, answering common questions such as arrival schedules, meeting points, and driver contacts. The interface is designed to be friendly and accessible for non-technical users.
The app connects to the Gemini API for natural language understanding, enabling the chatbot to respond dynamically based on user input. The frontend was built using modern JavaScript and responsive web design principles for seamless use on desktop and mobile devices.
Implemented with HTML, CSS, and JavaScript for real-time chat interactions, ensuring accessibility and responsive design across devices.
Used Google’s Gemini API to process user messages and return context-aware answers for flight and pickup inquiries.
Designed and structured message logic to handle common questions like pickup time, vehicle info, and driver contact.
This project enhanced my understanding of integrating AI APIs into real-world web applications. It strengthened my ability to design intuitive chat experiences that merge natural conversation with functional UI. The project also demonstrated how intelligent automation can improve campus logistics and reduce staff workload.