Conversational AI Development Projects in Islamabad
Conversational AI Development Projects in Islamabad
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Muhammad Usman
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Nexus Health AI Telehealth Mobile Application
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Shehzada Ammad Ali
AI Multlingual voice Chat Application Developed a Multilingual AI Voice Chat App enabling real-time cross-language communication through AI transcription, translation, and voice cloning. Users exchange voice messages in their native tongues while preserving the sender's vocal identity. How it Works: Set preferred languages Send voice messages AI transcribes & translates Converts text to speech Clones sender's voice
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Muhammad Usman
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AI-Powered SMS Response Agent for GoHighLevel
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Syed Asad Iftikhar
I built a custom AI Voice Agent for a service-based business to automate their appointment booking process. The system handles inbound/outbound calls, qualifies customers, and manages scheduling without any human intervention. The Technical Challenge The goal was to create a "robust" agent that could handle natural human speech patterns including stammers or mid-sentence changes while maintaining the conversational flow. I needed to bridge the gap between high-fidelity voice synthesis and real-time database management. The Solution & Workflow Voice & Logic: Integrated ElevenLabs for realistic vocal performance and Retell AI (or similar) for low-latency conversational handling. Automation Engine: Built complex workflows in n8n to process the data gathered during the call. Real-time Integration: The system automatically cross-references and updates Google Calendar, sending instant confirmations to both the client and the customer. The Results 100% Automation: Successfully moved the client from manual phone bookings to a fully autonomous system. Error Handling: Programmed the agent to stay on track even when users provide vague or self-correcting input.
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Shehzada Ammad Ali
Virtual Human Conversational AI Bot An advanced conversational AI using NLP/TTS with voice cloning for natural dialogues. Telegram-integrated & cross-platform compatible. How It Works: User sends text/voice input Business-tuned LLM processes query Generates contextual response Voice replies use TTS + my vocal clone Delivers via Telegram/other platforms
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