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Reimagining Student Support with a Multimodal, AI-Powered Assistant For Australia’s Leading EdTech Institution

Reimagining Student Support with a Multimodal, AI-Powered Assistant For Australia’s Leading EdTech Institution

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    Synopsis

    Technology Stack

    React

    Node.js

    Python

    Natural Language Processing

    Open-AI

    LangChain

    RAG

    Client Overview

    The client is Australia’s leading EdTech institution, renowned for delivering innovative, technology-driven learning solutions across diverse educational sectors.

    Challenge

    Traditional LMS platforms often fail to provide intelligent, real-time student support. Admins face rising query volumes, static content delivery, and fragmented user experiences—leading to lower student satisfaction, high dropout rates, and an overburdened support team.

    Solution

    • Multi-Agent Architecture:
      • Agent 1: Understands the intent of the query.
      • Agent 2: Pulls real-time data from the LMS for course-specific queries.
      • Agent 3: Searches PDFs, policy documents, and learning handbooks for relevant content.
    • Conversational Learning Assistant: Interacts naturally with students to resolve queries, explain concepts, and summarize lessons.
    • API-First & Scalable: Enables easy integration with any LMS, pulling data from multiple APIs, and built to support thousands of users with secure access and analytics.
    • Knowledge-Augmented Retrieval: Implements robust fallback logic to provide answers even when API data is missing—searching internal documents, course files, or manuals.

    Outcome

    Reduced Support Load​
    Improved Student Experience and Retention​
    Faster Access to Information​
    Adaptive, Scalable, and Compliant Solution​

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