AI & Web Developer in Punjab — Gurdharam Jeet Singh
Professional Full Stack Developer and AI Engineer in Muktsar & Bathinda, Punjab. Building high-end websites, offline-first mobile apps, and custom WhatsApp automation bots.
About Gurdharam Jeet Singh
Based in Muktsar, Punjab, I build production-grade web platforms and custom AI integrations. Specializing in Node.js, React, Python, and Flutter, I engineer usable intelligence systems that drive sales, automate workflows, and reduce operational overhead for local and international clients.
My work combines modern web architectures with on-device machine learning and conversational interfaces. Whether you need a 3D interactive marketing website, a custom WhatsApp AI assistant for client acquisition, or a localized mobile app that runs offline in rural areas, I deliver optimized, production-ready solutions tailored to your business needs.
Core Services & Solutions
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Interactive 2D & 3D Web Development
Custom 2D/3D business websites built with React, Vite, TailwindCSS, and Three.js/Spline. Optimized for performance and SEO from day one.
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AI Automation & Media Pipelines
Autonomous content creation machines (YouTube, Instagram, Facebook) and intelligent database search engines (RAG).
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WhatsApp Business Bot
Custom 24/7 WhatsApp AI agents for all businesses. Integrated appointment booking and lead conversion.
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Offline AI App Development
Flutter mobile apps running local, on-device machine learning models with zero server costs and zero latency.
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Dairy Management App (Flutter)
Custom dairy accounting ledgers, milk volume collections, fat content pricing slabs, and monthly P&L calculations.
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Web Developer in Muktsar Punjab
Local SEO, web design, and software consulting services tailored for businesses in Muktsar, Bathinda, and Punjab.
Case Studies
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DoodHisaab — Offline Dairy Ledger App
A rural agritech application built in Flutter with local SQLite database for milk ledger accounts and cooperative collection tracking.
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Fasal Doctor — Offline ML Crop Disease Scan
Agritech mobile application using on-device TensorFlow Lite and MobileNetV2 for automated plant disease diagnosis and PAU advisory.