Inspiration
Traditional assessments ignore learner age/context; generic recommendations lack precision. This system auto-detects age, benchmarks performance, clusters users, and delivers hyper-personalized paths—bridging vision AI with education analytics.
What it does
How we built it
Challenges we ran into
Lack of resources and time
Accomplishments that we're proud of
The intergation of orchestral multimodal agent with RAG-LLM, which took long to balance out the code as it is fragile.
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