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Ali Beheshti's avatar
Ali Beheshti
Herndon, USA
AI Engineer | Document AI, Voice & Vision Systems
New to Contra
AI Engineer | Document AI, Voice & Vision Systems
Cover image for Developed a system that replaces
Developed a system that replaces traditional OCR by using AI to interpret full-page handwritten documents. Instead of extracting text line-by-line, the system: Identifies document type Uses a structured JSON contract to define required fields Sends full-page images to an AI model Returns clean, structured data (including multi-record tables) Supports: Variable number of records per document Field validation and normalization Spreadsheet-ready outputs This approach significantly improves accuracy compared to OCR-based solutions.
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Cover image for ARJAN — My Personal AI
ARJAN — My Personal AI Consulting Platform, Built on Zo Computer I'm Ali Beheshti — AI consultant, founder of iTAB, and professor of Data Science Ethics at George Washington University. ARJAN is where those three identities meet. 🔗 Live site: https://arjan-site-ab.zocomputer.io/ What I built on Zo: → Mission Readiness Score — visitors adjust 4 live sliders across Quality Engineering, Section 508, AI Governance, and Mission Security. An animated ring scores them in real time, identifies their top gap and strongest area, and one click sends the full assessment into my contact flow → Live TTS narration on every capability card with synced ASL overlay — Section 508 compliant, built for everyone → Gmail-powered contact workflow via Zo's native integration — 4 simultaneous email paths on every submission. No third-party tools. Just Zo. → Capability cards reshuffle on every visit — no two visits are identical → Pixel-aware logo hover animation with inline sound toggle My philosophy: AI should free people to focus on what matters — not replace them. Every feature on this site exists to serve the visitor. That is the only reason to build anything. #zocomputerchallenge
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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 Developed an AI-powered platform for
Developed an AI-powered platform for automating field data collection, analysis, and reporting. The system integrates multiple input methods, including handwritten sheets, voice input, and direct data entry. Key capabilities: Automated data extraction and validation AI-assisted report generation Workflow tracking and project management Customizable outputs for engineering and technical teams Designed to reduce manual work and improve accuracy in field operations.
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Tesseract(1)