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Cover image for Excited to announce that I've
Excited to announce that I've updated my #ElevenLabs Conversational AI Library for #FlutterFlow to support the official elevenlabs_agents #Flutter SDK. The old version was a custom WebSocket implementation that worked but had limitations. The new version is significantly better: - WebRTC instead of WebSocket - Ultra-low latency audio streaming. The difference is noticeable. - Proper turn-taking - Client-side VAD with intelligent interruption handling. No more awkward overlaps. - Secure architecture - API keys stay server-side where they belong and includes a #BuildShip template to get your back-end authentication going quickly. - Cleaner integration - Official SDK, secure App State variables, simpler initialization. https://marketplace.flutterflow.io/item/rwPaVMENBqTorJiznewx
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Cover image for Boost Lead Conversion with 24/7 AI-Driven Instant Responses
Your leads are going cold while you sleep. The research is brutal: Respond to a lead within 5 minutes you're 100x more likely to reach them than if you wait 30 minutes. Wait until the next business day your conversion rate has already dropped by 90%. Most service businesses respond to leads in 4 to 24 hours. They call it "getting back to people." Prospects call it "I already booked someone else." This is a solvable problem. Not with more staff. Not with better time management. With a system that responds the moment a lead lands — regardless of what time it is, regardless of what day it is, regardless of whether your team is in a meeting or asleep. I build AI voice agents and automation pipelines that respond to new leads in under 60 seconds: → Instant SMS or email acknowledgment → AI agent follow-up call within minutes → Appointment booking before your competitor wakes up Speed to lead isn't a sales tactic anymore. It's table stakes. → Let me show you what this looks like for your business.
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Cover image for Innovative AI-Driven Interface for 2030 Sustainable Goals
The 17 Sustainable Development Goals are essentially the world’s to-do list for 2030. I wanted to build an immersive interface that actually lets countries and governments interact with their progress. It’s built for deep dives where you can compare performance across borders, analyze raw data, and even use a policy sandbox to "dummy try" initiatives to see simulated results before they happen. 🚀 Honestly didn’t think I could cram all of this in, but Figmake helped me pull off features and intuitive experience. I managed to build an AI-driven story mode, conversational inputs, and :a unique custom circular filter. Started same day, around 200 regenerations, last minute submission; please accept! #FigmaMake #SDG #GlobalGoals #UIUX #DesignChallenge Figma Site - https://many-scarf-95159460.figma.site
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Cover image for Mittu — Multilingual WhatsApp AI
Mittu — Multilingual WhatsApp AI Agent for Local Businesses The Problem: Small retail shop owners and local businesses in India don't want another bloated dashboard or complex management software. They want to type a quick message in their everyday language and get business handled immediately—logging orders, generating invoices, and checking sales without friction. The Solution: I built Mittu, a conversational AI assistant on WhatsApp designed specifically around how Indian retailers actually communicate. Mittu operates directly inside WhatsApp, allowing store owners to manage daily operations entirely in Hindi and Hinglish. Key Features & Capabilities: Conversational Order Intake: Parses multi-item orders with customer names and pricing directly from natural, free-form text. Automated GST Invoicing: Calculates tax breakdowns (GST @ 18%) and generates structured invoice numbers (INV-xxxx) on demand. On-Demand Business Intelligence: Summarizes daily and weekly revenue, top-selling items, and transaction logs via simple voice/text prompts. Natural Hindi/Hinglish Processing: Built to understand mixed-language phrasing, colloquial terms, and localized business terminology. Architecture & Tech Stack: Core Agent Logic: Python LLM Engine: Groq (LLaMA 3.3) for low-latency reasoning and conversational routing Database & Memory: Supabase for customer order history and transaction tracking Messaging Layer: Twilio WhatsApp Business API Pitch / Call to Action: Looking to build custom AI agents that automate customer operations or bridge English-only AI tools into local languages? Let's connect and build it.
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