AI Hub

Tools Used: N8N + Google Sheet Project Overview This project automates the process of extracting business email IDs listed on Google Maps using N8N, a powerful no-code/low-code workflow automation tool. The scraped data is then automatically stored and organized in Google Sheets for easy access and further use. Project: Email ID Scraping from Google Maps Tools Used: N8N (Workflow Automation) + Google Sheets Project Overview This project automates the process of extracting business email IDs listed on Google Maps using N8N, a powerful no-code/low-code workflow automation tool. The scraped data is then automatically stored and organized in Google Sheets for easy access and further use. How It Works Step 1 – Trigger & Search Setup A workflow is configured in N8N to search for specific business categories or locations on Google Maps (e.g., "restaurants in Mumbai" or "IT companies in Bangalore"). Step 2 – Data Extraction N8N fetches business listing details from Google Maps, including business name, address, phone number, website, and email ID (where publicly available). Step 3 – Email Parsing The workflow visits business websites (if linked) and parses the page content to extract publicly listed email addresses using regex or HTTP request nodes within N8N. Step 4 – Data Storage All extracted email IDs along with business details are automatically pushed and stored into a Google Sheet in a structured, organized format — ready for outreach or analysis. Key Highlights Fully Automated — No manual copy-pasting; the entire flow runs on autopilot Scalable — Can scrape hundreds of listings across multiple cities or categories Organized Output — Data is neatly stored in Google Sheets with columns like Business Name, Email, Phone, Website, Location No-Code Solution — Built entirely using N8N's visual workflow editor without writing heavy code Use Case / Purpose This project is ideal for lead generation , B2B outreach , market research , and business directory building — helping sales and marketing teams build targeted email lists efficiently.

Tools Used: SerpAPI + Open AI + Google Search Engine + OpenRouter Tools & Technologies Used SerpAPI — Used to programmatically scrape Google Search results to discover LinkedIn profiles, company pages, and relevant prospects based on targeted keywords and filters. Google Search Engine — Acts as the search backbone, querying specific niches, job titles, industries, or locations to surface high-quality lead candidates from across the web. OpenAI — Powers the AI layer for intelligent tasks such as generating personalized outreach messages, summarizing prospect profiles, qualifying leads based on predefined criteria, and crafting context-aware connection request notes. OpenRouter — Serves as a unified API gateway to access and switch between multiple LLM models (e.g., GPT-4, Claude, Mistral) for cost optimization and flexibility in AI-driven tasks. How It Works A target persona is defined (e.g., "SaaS founders in the US with 10–50 employees"). SerpAPI queries Google to find matching LinkedIn profiles or company pages. Prospect data is extracted and passed through OpenAI (via OpenRouter) to qualify relevance and generate personalized outreach copy. The system outputs a structured lead list with ready-to-send messages, saving hours of manual research and writing. Key Outcomes Automated end-to-end lead discovery and outreach preparation Personalized messaging at scale using AI Flexible multi-model support via OpenRouter for cost-efficient operations Significant reduction in manual prospecting time

Tools Used: SerpAPI + Google Search Engine + Gemini Built a fully automated B2B lead generation pipeline that identifies, enriches, and qualifies potential business leads without manual effort. The system uses SerpAPI integrated with Google Search Engine to programmatically scrape and retrieve targeted company and contact data based on custom queries (e.g., industry, location, job title). The raw search results are then passed to Google Gemini (LLM), which intelligently extracts structured lead information — such as company name, decision-maker, contact details, and relevance score — from unstructured web content. The pipeline covers the full lead generation lifecycle: discovery → extraction → enrichment → qualification , making it suitable for sales teams, marketing automation, or outreach campaigns. Key Highlights: Automated search query generation based on ICP (Ideal Customer Profile) LLM-powered data extraction and lead scoring using Gemini Structured output (CSV/JSON) ready for CRM integration Scalable and configurable for different industries or geographies

Tools Used: VAPI + Make.com This project automates outbound phone calls at scale — sending 1,000+ AI-powered voice calls to contacts stored in a Google Sheet, without any manual dialing. It combines VAPI (an AI voice calling platform) and Make.com (a no-code automation tool) to build a fully automated outbound calling pipeline. 1. Google Sheet as the Data Source All contact data (names, phone numbers, custom variables) lives in a Google Sheet. This acts as the single source of truth — you simply populate the sheet and the automation handles the rest. 2. Make.com as the Automation Engine Make.com reads rows from the Google Sheet and triggers VAPI API calls for each contact. It handles the logic — looping through 1,000+ rows, managing batch sizes, handling errors, and updating call statuses back into the sheet. 3. VAPI for AI Voice Calling VAPI powers the actual phone calls. It uses an AI voice agent (with a configured script/prompt) to conduct real conversations — answering questions, collecting responses, or delivering messages — without a human on the line. 4. Status Update & Logging After each call, Make.com writes the call outcome (completed, no answer, voicemail, etc.) back to the Google Sheet, giving you a live call log. Key Capabilities Batch processing of 1,000+ contacts from a single sheet Personalized calls using dynamic variables (e.g., first name, appointment time) pulled from the sheet AI conversations — not just pre-recorded messages, but live interactive dialogue Real-time logging — call results written back to Google Sheets automatically Scalable — the same workflow handles 100 or 10,000 contacts Who This Is For This integration is valuable for businesses running appointment reminders, lead follow-ups, survey calls, event notifications, or customer re-engagement campaigns — any use case requiring high-volume outbound calling without a large human call center. Why This Combination Works VAPI handles the complex AI telephony layer, while Make.com provides the visual, no-code orchestration to connect it with everyday tools like Google Sheets. Together, they make enterprise-grade call automation accessible without custom software development.

AI Inbound Call Integration with CRM refers to the use of artificial intelligence to handle incoming phone calls and automatically connect that interaction data with a Customer Relationship Management (CRM) system like Salesforce, HubSpot, Zoho, or similar platforms. AI Side (Inbound Call Handling): The AI component typically involves tools like conversational AI, IVR (Interactive Voice Response), or voice bots (e.g., Twilio, Google Dialogflow, AWS Connect, or similar) that can answer calls, understand customer intent through natural language processing (NLP), collect information, and route or respond intelligently — without requiring a human agent for every call. CRM Integration Side: Once the AI handles or captures the call, it syncs data directly into the CRM — logging the call, updating contact records, creating tickets or leads, triggering follow-up workflows, and making that interaction history available to sales or support teams in real time. Why it matters: This kind of integration streamlines customer service, reduces manual data entry, ensures no lead or support case falls through the cracks, and gives teams full visibility into every customer touchpoint. use case you could mention: "When a customer calls in, the AI bot captures their details, identifies their query, and automatically creates or updates their record in the CRM — so when a human agent follows up, they have full context."

Our AI-enabled workflow systems streamline operations, improve decision-making, reduce downtime, and support data-driven manufacturing for high-performance adhesive and sealant production.

Designed and implemented an automated workflow to manage office Secret Santa and Secret Friend activities seamlessly. The system initiates participation through email, collects individual wish lists via structured input, and automatically routes each list to the assigned secret partner while maintaining complete anonymity. The automation eliminates manual coordination, ensures confidentiality, and streamlines the entire gifting process from signup to distribution.