Project Description

A AI Chatbot designed to provide listeners with a unique, interactive experience by sharing insights and highlights from the BeyondUX Design podcast episodes. Built to enhance engagement, this chatbot is a conversational guide that allows users to explore topics discussed in episodes, gain knowledge from conversations, and delve into insights.

Frontend Engineer

UX Designer

Episode Summaries and Insights: Users can ask about specific episodes to receive concise summaries, key insights, notable quotes, and even recommendations for related episodes.

Smart Data Processing: The chatbot scrapes and processes comprehensive episode data, utilizing embeddings via Pinecone to ensure efficient retrieval and precise matching with user queries, resulting in highly relevant, streamlined responses.

Personalized Tone: The chatbot’s conversational style is tailored to reflect the podcast host’s tone, providing a more engaging and familiar experience for listeners.

Interactive Feedback Options: Users can interact further by liking, loving, or disliking responses, helping improve the bot's relevance and responsiveness.

Quick Reference Links: Each response includes reference links to specific episodes, along with promotional links for deeper exploration of topics discussed.

Frontend: Next.js, Mantine UI

Backend: Node, JavaScript, Python, MongoDB, AWS servers

AI & Data Processing: OpenAI APIs, Pinecone embeddings

Other Integrations: Docker, GitHub, Stripe, OAuth (Google)