Ali Beheshti
AI Engineer | Document AI, Voice & Vision Systems
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Ali is ready for their next project!
ARJAN ā My Personal AI Consulting Platform, Built on Zo Computer
I'm Ali Beheshti ā AI consultant, founder of iTAB, and professor of Data Science Ethics at George Washington University. ARJAN is where those three identities meet.
š Live site: https://arjan-site-ab.zocomputer.io/
What I built on Zo:
ā Mission Readiness Score ā 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
ā Live TTS narration on every capability card with synced ASL overlay ā Section 508 compliant, built for everyone
ā Gmail-powered contact workflow via Zo's native integration ā 4 simultaneous email paths on every submission. No third-party tools. Just Zo.
ā Capability cards reshuffle on every visit ā no two visits are identical
ā Pixel-aware logo hover animation with inline sound toggle
My philosophy: AI should free people to focus on what matters ā 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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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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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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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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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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