This project focuses on developing an AI-powered system to provide personalized restaurant recommendations in Paris. By leveraging OpenAI's GPT model, MongoDB for database management, and the Yelp API for data retrieval, I created a seamless integration to fetch, store, and process restaurant data dynamically.
By harnessing these technologies, I designed an application that not only fetches but also intelligently processes restaurant information, providing users with tailored recommendations based on their preferences.
The major challenges included ensuring seamless API integration, managing real-time data fetching and storage, and refining the AI model to provide accurate and relevant recommendations. Mastering these aspects was crucial to the project's success.
To develop an automated system that uses AI to provide real-time restaurant recommendations in Paris, improving customer service and operational efficiency.
Integrating and managing multiple APIs, ensuring data accuracy, developing and tuning the AI model, and creating an intuitive user interface were major challenges.
The application drastically reduces the time required for review management by providing prompt and consistent responses, thus enhancing customer satisfaction. Managers can now focus on other critical aspects of hospitality while ensuring clients receive timely responses.