Most AI tools are generic wrappers that hallucinate under pressure. JEE AI is built on a sovereign architecture that orchestrates 10 independent LLMs into a "Consensus Council" to ensure factual accuracy. Optimized aggressively to ensure 10-model debates can be accessed seamlessly even on 1GB RAM legacy devices. Key Features: The Neural Archive: Instant, zero-interruption knowledge retrieval. Consensus Logic: Async multi-model cross-verification to kill hallucinations.
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Maker
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Hey Product Hunt! 👋
I’m the solo developer behind AROM Intelligence. I built JEE AI on an Intel i3 (4GB RAM) laptop from my room because I noticed a massive crease in current tech: AI is getting heavier, while the students who need it most are stuck on legacy devices.
Instead of picking a single 'God Model,' I engineered an orchestration layer that forces 10 models to reach a consensus before answering a query, practically eliminating hallucinations for complex STEM topics. I optimized the frontend state and sharded assets so it runs natively inside a mobile browser on a 1GB RAM phone.
I'm signing on to answer any questions about the consensus logic, the RAG pipeline, or how to build heavy AI on a potato laptop.
What do you think about a 'Council' approach versus a single LLM?