Conversational Skills Improvement App: Personalized Suggestions and Dynamic User Experience

I developed a Next.js application designed to help users improve their conversational skills by providing tailored suggestions, questions, and answers. The system leverages Retrieval-Augmented Generation (RAG) to personalize recommendations based on users' previous responses, ensuring continuous improvement in their communication abilities.

For real-time data management and seamless user interaction, I integrated Firebase, enabling quick data retrieval and updates. The frontend was built with GSAP and Framer Motion for dynamic animations, and styled with Tailwind CSS for a responsive and visually appealing user interface. Together, these technologies provide a smooth and engaging experience for users as they enhance their conversational skills.

This application combines modern UI/UX design principles with powerful real-time interaction to deliver a highly interactive learning tool.

You can see the deployed version of the project here: https://convo-master.vercel.app/