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AI Trainer & Support Bot Platform

An online training organization needed a student assistant that answers from real course materials — not generic internet advice — and plugs into their existing live support channels.

We evolved a basic chat integration into a production AI trainer grounded in the organization's own content. Students ask in English or Roman Urdu; the bot retrieves relevant course material, stays within cohort boundaries, and hands off honestly when confidence is low.

Next.jsOpenAIVector DBRAGTypeScript
AI · EdTech
AI Trainer & Support Bot Platform project mockup

The Challenge

Early demos could reply in chat but pulled from the model's general knowledge — wrong cohort answers, over-confident guesses, and no link to what was actually taught in class.

Our Solution

A Next.js platform with vector search over ingested transcripts and docs, retrieval-augmented generation, live support webhook handling, optional student identity checks, and an admin console for bulk content ingest — tuned so answers follow training material, not imagination.

The Results

  • RAG answers grounded in course content only
  • Live support channel integration
  • Multi-language student queries supported
  • Cohort-aware retrieval — no cross-batch bleed
  • Admin ingest for transcripts & documents
  • Student verification & context when enabled

Platform Integrations

Connected systems that keep the organization running from one hub.

Live support

Works inside existing chat

Incoming student messages from the helpdesk trigger retrieval and AI replies — agents stay in the loop when needed.

Operations platform

Student context on demand

When a student is verified, enrollment and support notes can enrich the reply — without leaving the chat.

Knowledge base

Content stays current

Admins upload class transcripts and documents; the vector index updates so answers reflect what was actually taught.

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