Projects using Superwhisper

Projects using SuperwhisperProjects using Superwhisper

Cover image for AI - powered insurance Agent Problem: Prior auth was manual—...

AI - powered insurance Agent Problem: Prior auth was manual—staff reviewed patient docs to predict approvals, making the process slow and resource-heavy. Solution: Built a HIPAA-compliant AI auth system: extract clinical data (OCR + clinical NLP), form a structured EHR-like record, evaluate insurer rules, and generate approval suggestions; added voice input workflows via STT/TTS plus secure storage and audit logging. Metrics: Reduced turnaround time and improved SLA adherence (similar projects reached ~98%). Result: Automated major parts of auth decisioning while staying compliant and auditable. Skills: AI Speech-to-Text AI Agent Development AI Builder AI Audio Generation AI Security

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Cover image for AI visibility audit and content

AI visibility audit and content optimization dashboard for a criminal defense law firm. Tracked 1,279 videos, optimized 50 in the first sprint. 120K+ total views, 635K impressions, 3.7% CTR. Interactive dashboard with progress tracking, optimization status, and performance metrics.

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Cover image for AI Presentation Coach is a smart web app that analyzes prese...

AI Presentation Coach is a smart web app that analyzes presentation videos using AI to evaluate speech clarity, confidence, pacing, and delivery, then provides clear feedback and improvement suggestions to help users present better.:

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Cover image for Designed a multimodal AI system

Designed a multimodal AI system combining voice input, document understanding, and structured data extraction. The system processes full-page documents and spoken input together, allowing flexible and efficient data capture. Key capabilities: AI-based document interpretation (beyond OCR) Voice-driven interaction and data entry Structured JSON outputs for downstream systems Support for multi-record extraction and validation This approach enables fully automated workflows in data-heavy environments and field operations.

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Cover image for Built a voice-enabled system that

Built a voice-enabled system that allows users to input structured data through natural conversation. The system captures spoken input and uses AI to map responses into structured fields in real time. Features include: Speech-to-text integration AI-assisted field mapping Multilingual support Real-time validation of inputs Designed for field environments where manual data entry is inefficient or impractical.

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