SupportMind AI Hackathon Project Gives Customer Support Agents Long-Term Memory

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A team built SupportMind, an AI-powered customer support assistant, as a hackathon project to address a common frustration: chatbots forgetting past interactions with returning customers. The system assigns each customer a separate long-term memory bank, which is searched before any response is generated, giving the AI relevant context from prior conversations. After each interaction, the new conversation is stored back into that customer's memory bank, making the assistant progressively more informed over time. Built using Flask, Hindsight, Groq, and a large language model, SupportMind keeps customer histories strictly isolated so one user's data never influences another's responses. The project also aims to help human support agents by generating concise briefings drawn from a customer's stored interaction history.

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