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Multi-Modal AI System for Produce Freshness Detection
Designed and deployed a real-time multi-modal AI System integration CNN-based image analysis with gas sensor, NIR, and metadata features using early fusion. Achieved 93.42% accuracy with 113 ms interference latency on a portable edge device, outperforming image-only and sensor-only baselines across Accuracy, Precision, Recall, and F1-score.
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Connect with clients, get discovered, and run your business 100% commission-free
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Your Business Doesn't Need More Tools. It Needs Better Systems.
Most businesses don't have a software problem. They have an integration problem.
Their CRM is disconnected from their database. Their spreadsheets require manual updates. Their reports take hours to prepare. Their teams waste valuable time moving information between platforms.
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When a CRM-to-database sync fails halfway, how do you handle it: idempotent retries, or a reconciliation pass afterward? That's usually where integrations start to drift.
Resolve: an AI support agent that answers from a company’s own policies, looks up orders, and escalates weak matches to a human instead of guessing. A human approves replies before they go out.
Live demo: support-resolver.vercel.app
For the human approval step, I'd show the exact policy passage and its effective date beside the draft. Does Resolve flag a reply for re-review if the policy changes while it waits for approval?
which style do you prefer?
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