About the project.
QRAI converts spoken and written feedback into structured, actionable summaries using advanced transcription models and LLM analytics. Designed for organizers to monitor event sentiment, it leverages a robust FastAPI/MongoDB backend and React frontend to map quality metrics, generate intelligence summaries, and manage events securely.
Features
>Transforms event audio feedback into text and structured summaries for easier review and reporting.
Uses AI analysis workflows to derive themes, sentiment patterns, and concise takeaways from large feedback sets.
Secures ingestion and analysis endpoints for reliable multi-event and multi-user operation.
Enjoy a seamless experience across devices with a responsive design that adapts to various screen sizes and orientations.
Crafted with SEO best practices, ensuring optimal visibility on search engines. From keyword-rich content to streamlined meta tags and efficient site architecture.
Features
>Tech Stack
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ReactJavaScript library for building user interfaces with reusable components.
MongoDBNoSQL database offering flexibility and scalability for storing and managing data efficiently.
REST APIArchitectural style for designing networked applications with standardized HTTP operations.