Zaviyaar Bin Irfan
AI Developer, AI Websites, Chatbots, AI Agents, Voice AI
- 5.00
- Rating
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- Followers
I helped streamline the lead-to-quotation process for a signage company. When a new lead comes in, we automatically use SerpAPI and RapidAPI to gather a list of potential vendors. Quotations are then requested from these vendors, submitted via email, and automatically extracted using Python. All leads, vendor info, and quotations are organized in Airtable, and the system intelligently selects the best quotation based on predefined criteria — all orchestrated seamlessly with Make.com (http://Make.com) automation.
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I created a marketing n8n workflow integrated with DataForSEO, LinkedIn, GCP, PiAPI and Slack. Given a topic on Slack, it will use DataForSEO to get top trending and relevant keywords against which it will generate blog headings. Once the user chooses one on slack, it will perform a web search to write a blog with proper guidelines and hashtags. PiAPI is used to generate an image using FLUX model and then run a custom HTTP request to upload to LinkedIn and Wordpress.
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I built an AI Voice Calling System for a signage company and fully integrated it with GHL. This AI agent answers calls, books appointments, shares business information, and automatically stores every lead inside GHL. I also set up smart automations like appointment reminders and AI-powered outbound reminder calls. In this video, I walk through the complete system flow and show exactly how it was built. Check it out.
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I built an exciting AI voice calling agent built with Twilio + Retell AI, live on a virtual number. It handles real-time patient appointment booking directly into Google Calendar (via Cal.com (http://Cal.com)). Powered by ElevenLabs voice + GPT, it speaks naturally, collects patient details, checks availability, and schedules appointments instantly — just like a human receptionist, but automated.
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I developed an AI-powered real estate assistant that collects user details like name, phone number, and self-funding amount, with optional info like budget, location, and room preferences. It submits leads to the Monday CRM with a summary, user data, and a lead quality score (1–10) based on engagement. The assistant also connects to the sales team’s Google calendar to offer real-time appointment slots, confirms bookings, and updates the Monday CRM. Additionally, I developed a smart FAQ system with strong support for Hebrew to answer common real estate questions accurately.
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It is a law assistant chatbot trained in the US Law book. The chatbot answers queries related to US law and tries to prepare cases according to the scenario using legal knowledge. I developed a RAG using Langchain. The backend was Firebase with Flask.
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This is a customer support chatbot that answers questions related to SignsALot Dental Clinic. Moreover, it also prompts the user to book an appointment. The booking details are stored in the clinic admin and user's Google Calendar. In this chatbot, I used OpenAi Assistant to configure the chatbot. Moreover, I also used the Google Calendar API for storing the appointment details in Google Calendar.
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