Projects using N8N in LahoreProjects using N8N in Lahore
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Cover image for ARH Jarvis | Voice and
ARH Jarvis | Voice and Text Command Automation Assistant (n8n + Windows Agent) A personal automation assistant that takes voice or text commands from a web page or phone and carries them out on a real Windows computer, in English or Roman Urdu. Voice commands are transcribed through Groq, then converted into a structured command. Text commands go through a separate authenticated route: common commands are resolved with deterministic rules with no AI cost involved, while complex natural-language requests are planned by DeepSeek before execution. Both paths converge on the same Windows agent, connected through a permanent tunnel, with a confirmation step before any sensitive action runs. Current capabilities include opening and searching applications such as YouTube, Gmail, and WhatsApp Web, sending Gmail messages and WhatsApp messages, checking the PC's live status, writing files to approved folders, and monitoring the automation platform itself: it can detect the latest failed workflow execution, summarise the error, and save a report to the desktop. Every request is authenticated at each hop, and errors return as structured categories such as authentication_error, planner_error, or execution_error, rather than a plain crash. Actions such as arbitrary software installs, unrestricted system commands, or unrestricted file deletion are intentionally blocked by design, not because they were forgotten. This is a personal proof of concept still being hardened, with voice recognition consistency and fully autonomous multi-step flows as the current development focus. It uses the same architecture principles I bring to client systems: hybrid AI plus deterministic logic, authenticated multi-hop communication, and structured error handling. Stack: n8n (self-hosted on Contabo), Groq, DeepSeek, Windows local agent, ngrok, Gmail API.
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Cover image for NovaMart — AI-Powered E-Commerce Automation
NovaMart — AI-Powered E-Commerce Automation Suite Four connected AI workflows that turn every customer action — order, support ticket, abandoned cart, low stock — into an automated response. Everything after checkout is still done by hand for most stores — and it doesn't scale. Abandoned carts go unrecovered with no follow-up, support tickets are read and routed manually, order confirmations are pushed out by a person, and stock-outs are only discovered after they've already cost sales. I built NovaMart, a Next.js 16 storefront backed by four orchestrated n8n workflows that automate the entire post-checkout lifecycle. The moment a customer places an order, abandons a cart, or files a support request, the system takes over: orders move through confirm → ship → deliver → review automatically with every step visible in Slack; GPT-4o-mini classifies incoming support requests and routes them without a human in the loop; idle carts trigger timed recovery emails with a discount nudge; and daily inventory checks flag low stock and auto-pause zero-stock items before they turn into lost sales. A single Supabase database acts as the one source of truth across the entire system, so there's no fragmented data between the storefront, automation layer, and support tools. Results: Zero manual triage in the support loop, recovered revenue from carts that would otherwise have been lost, one unified source of truth instead of scattered spreadsheets, and inventory management that's proactive instead of reactive. Stack: Next.js 16 (storefront) · Supabase (database, auth, real-time) · n8n (4 orchestrated workflows) · GPT-4o-mini (support classification) · Slack (team alerts) · Gmail API (customer communications). If your store still runs on manual order tracking, ad-hoc support replies, or spreadsheet inventory checks, this same 4-workflow system can be adapted to your storefront in days.
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