Unimind is a multimodal AI engine that analyzes the kind of content where misinformation and fraud actually spread: WhatsApp forwards, Instagram Reels, screenshots, voice notes, and short videos. It reads text, OCRs images, listens to audio, and reasons over video to flag misinformation, manipulation, or scam signals in seconds. Built for Hindi, English, and Hinglish, Unimind focuses on clear verdicts and grounded explanations, not vibes.
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Maker
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I built Unimind after watching how misinformation and fraud actually spread in India: WhatsApp groups, Instagram Reels, blurry screenshots, and 60‑second voice notes from people you trust. None of that fits neatly into a text‑only fact‑checker.
Unimind is my attempt at an intelligence layer for that messy reality. You can send it text forwards, Hindi screenshots, health “remedy” reels, voice notes, or short videos. It reads, listens, and reasons across them to return a clear verdict with an explanation, usually in a few seconds.
Today’s launch is an early, public step. I’d love blunt feedback on two things:
1. Does this actually help you or your users decide what to trust?
2. Where would you plug this verification step into your own product or workflow?
I’ll be in the comments all day answering questions about the pipeline, India‑first focus, and how this can evolve into shared verification infrastructure.