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Ramanjit Singh
AI Voice Agents, RAG Chatbots & Workflow Automation for SMB
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Ludhiana, India
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Ludhiana, India
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Project title: VoiceLead AI — AI Voice Receptionist Brief: VoiceLead AI is a real-time voice receptionist that answers customer calls, handles natural conversations, qualifies leads and books appointments. Staff can follow live transcripts, review caller details and manage qualified leads through a dashboard. This is a complete product demonstration, not commissioned client work. Industry: Customer Service / Telecommunications Skills: Voice AI, AI Agents, Conversational AI, Lead Qualification, Workflow Automation, Full-Stack Development Tools: OpenAI, WebRTC, ASR, TTS, FastAPI, PostgreSQL, React, TypeScript, Docker Completed work: https://ramanjit.atinnovators.in/case-studies/voicelead-ai/
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ProductSense AI transforms scanned product catalogues and technical datasheets into searchable, structured information. It uses OCR to extract content with confidence scores, then enables plain-language questions and semantic search across the processed catalogue. The platform also includes a document library and extraction pipeline for monitoring every file. Industry: Product Data Management / SaaS Skills: AI Development, OCR, Document Intelligence, Semantic Search, RAG, Full-Stack Development Tools: OpenAI, Python, FastAPI, PostgreSQL, pgvector, React, TypeScript, Docker
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ClientPilot AI is an AI-powered customer-service platform that manages enquiries, answers questions using company policy documents, and provides cited sources for verification. It also sends SMS confirmations, tracks bookings and maintains a timestamped automation trail. This is a complete product demonstration, not commissioned client work.
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EcoMind AI is a document intelligence assistant that helps users search and understand complex sustainability policies. It processes 200 documents and delivers grounded answers with page-level citations, making every response easy to verify. The demonstration includes document ingestion, semantic search, source tracking, and a reliable RAG pipeline built with AI, OCR, PostgreSQL, and pgvector.
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