TENKI-JAPAN Keyword Optimizer

About This Project:

In the summer of 2024, I lived in Tokyo, Japan where I interned at TENKI-JAPAN. I developed an AI-driven application using Node.js, React, CSS, and the OpenAI API to optimize e-commerce product listings on Rakuten's platform, enhancing search visibility and user engagement. To improve product discoverability, I implemented keyword optimization algorithms and leveraged OpenAI’s GPT model to analyze competitor data, generating SEO-friendly titles, descriptions, and keywords. The UI offers three optimization options, each prioritizing different aspects of the product to tailor listings accordingly. I also integrated MongoDB for real-time data storage and retrieval, allowing users to save their favorite optimized listing options to their account. Additionally, I worked closely with cross-functional teams to ensure seamless integration, high-performance functionality, and an enhanced user experience. While we were unable to conduct performance tests on the algorithm, the web app remains in development by incoming interns at the company. Due to company policies, I am unable to provide access to the web app or GitHub repository.