Qoyum Akeem's Work | ContraWork by Qoyum Akeem
Qoyum Akeem

Qoyum Akeem

AI Software Engineer | AI Agents & Automation Specialist

Cover image for 🚀 Voice AI Appointment Booking
🚀 Voice AI Appointment Booking with Retell AI, Vapi & n8n Built an automated workflow for AI-powered calls, appointment booking, calendar checks, CRM updates, confirmations, and reminders. ⚙️ Tools: Retell AI, Vapi, n8n, OpenAI, Google Calendar & GoHighLevel. Helping businesses save time, reduce missed calls, and simplify appointment scheduling. #VoiceAI #n8n #RetellAI #Vapi #AIAutomation #WorkflowAutomation #AppointmentBooking #AIAgents #GoHighLevel
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Cover image for I designed an AI-powered lead
I designed an AI-powered lead generation workflow using n8n to organize lead collection, data enrichment, qualification, and follow-up in one automated process. The workflow connects lead sources such as web forms and Google Sheets with external APIs to gather company information and enrich lead records. An AI qualification step analyzes available details and assigns lead scores based on industry, location, company size, and buying intent. Qualified leads can be added to GoHighLevel, with records updated in Google Sheets for tracking. The workflow also includes conditional routing, personalized outreach, notifications, and database logging. The goal is to reduce manual lead research, improve lead organization, and help sales teams focus on promising prospects through a flexible, modular automation system. Core technologies: n8n, OpenAI, GoHighLevel, Google Sheets, REST APIs, webhooks, and Supabase. Hashtags: #AI #LeadGeneration #WorkflowAutomation #n8n #AIAutomation #OpenAI #GoHighLevel #APIIntegration #SalesAutomation #CRM #GoogleSheets #Supabase #BusinessAutomation #LeadQualification #MarketingAutomation
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Cover image for I designed an AI-powered lead
I designed an AI-powered lead generation workflow using n8n to organize lead collection, data enrichment, qualification, and follow-up in one automated process. The workflow connects lead sources such as web forms and Google Sheets with external APIs to gather company information and enrich lead records. An AI qualification step analyzes available details and assigns lead scores based on factors such as industry, location, company size, and buying intent. Qualified leads can then be added to GoHighLevel, with records updated in Google Sheets for tracking. The workflow also includes conditional routing, personalized outreach options, notifications, and database logging. The goal is to reduce manual lead research, improve lead organization, and help sales teams focus on promising prospects through a flexible, modular automation system. Core technologies: n8n, OpenAI, GoHighLevel, Google Sheets, REST APIs, webhooks, and Supabase.
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Cover image for Jarvis is a Windows AI
Jarvis is a Windows AI assistant project designed to make everyday computer tasks easier through voice commands, conversational AI, and desktop automation. The goal is to create a desktop assistant that can understand user requests, respond naturally, and help perform tasks directly on Windows. Key features include: • AI-powered chat and conversational interaction • Voice input and spoken interaction • Windows desktop and application control • Automated computer tasks and file management • API integrations for connecting AI services • Workflow automation using n8n • A dedicated interface for chat, voice, and assistant controls The project brings AI interaction and desktop automation together in one interface, with a focus on productivity, usability, and extensibility. The architecture can be expanded with additional integrations, commands, and automation workflows as development progresses.
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