LearnMate Pro is an intelligent Agentic AI Skill Architect built on IBM watsonx Orchestrate. It interacts with students, executes technical gap analysis, and dynamically generates adaptive learning roadmaps tailored to industry demands.
- IBM watsonx Orchestrate: Managed agent runtime, behavioral guardrails, and interface state handling.
- IBM Granite / Foundation Models: Cognitive engineering driving assessment generation, routing evaluation, and prompt execution.
- Knowledge Source (RAG): Ingests curated educational roadmaps to ground recommendations in verified benchmarks.
- Domain Discovery: Agent identifies the user's focus track (e.g., Frontend Development, Cybersecurity / Red Teaming).
- Technical Gap Analysis: Dynamically generates assessment questions to gauge real-time troubleshooting capabilities.
- Adaptive Roadmap Generation: Structures the customized pathway based on identified skill gaps.
ai-config/: Contains system instructions (agent-instructions) and platform environment metadata.knowledge-base/: Grounding datasets used for the RAG architecture pipeline.
Due to administrative sandbox token constraints on the default academic tenant layer, the visible model selection dropdown is configured to a platform baseline (GPT-OSS 120B). However, core inferencing routing is explicitly directed through systemic instructions to target the active IBM Granite engine instance available via Watson Studio / IBM Cloud Lite services (see documentation in ai-config/agent-metadata.json).