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Supplier catalog, price and stock synchronization — Developed an integration workflow that keeps supplier product data, pricing and inventory aligned across systems. It minimizes repetitive updates, reduces discrepancies and makes commercial data more dependable.
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Related posts
Polar — Local AI Desktop Assistant
Polar is a local, privacy-focused AI desktop assistant designed around a futuristic HUD interface and system-level interaction.
The project explored how a desktop AI could understand the user's environment, process visual and voice input, and respond or perform actions without relying entirely on cloud services.
Key features:
Local AI assistant architecture
Futuristic Tauri-based desktop HUD
Screen and contextual awareness
OCR-based extraction of text from the screen
Voice interaction pipeline
AI-powered context processing and responses
System-level desktop interaction and automation
Local/offline model execution
Real-time assistant-style interface
OCR pipeline:
Screen capture → OCR → Context extraction → Local AI → Response/Action → HUD
The project combined AI, computer vision, OCR, voice interaction, desktop application development, and modern UI engineering into a single experimental personal-assistant platform.
My contribution: Architecture, application development, AI integration, OCR functionality, UI/HUD development, and system interaction.
This is beautiful
A multi-tenant inventory and accounting SaaS for retail, wholesale, distribution, and warehouse businesses. It replaces disconnected spreadsheets with one system for stock, purchases, sales, returns, quotations, dues, payables, and ledgers. Owners get dashboard analytics, downloadable reports, WhatsApp invoice sharing, and AI-assisted insights. Role-based access and organization management support multiple teams.
Built with Next.js, React, PostgreSQL, and Sequelize.
A strong use case for simplifying complex operations.
Sample deliverable: AI Cost / Value Snapshot from the AI Agent Authority Audit. This review uses client-supplied estimates to compare monthly AI/tool spend with time saved or business value created, identify cost or control gaps, and prioritize what should be tightened, monitored, or tested next. It is designed to help small businesses make AI usage more measurable and operationally accountable.
