Ramanjit Singh's Work | ContraWork by Ramanjit Singh
Ramanjit Singh

Ramanjit Singh

AI Voice Agents, RAG Chatbots & Workflow Automation for SMB

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Cover image for Project title: VoiceLead AI —
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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Cover image for ProductSense AI transforms scanned product
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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Cover image for ClientPilot AI is an AI-powered
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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Cover image for EcoMind AI is a document
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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