Projects using LangChain in India
Projects using LangChain in India
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Shreyansh Kumar
Loov – Your AI Companion, Your Story
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24
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Anmol Baranwal
Technical Writing for Copilotkit | 40k+ views
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92
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Prashant from Zeroic
pro
FormulaBot - AI powered SaaS - Web application on Bubble
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25
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Mehul Sethia | Senseibles
pro
DepX: AI-Powered DevOps Copilot
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86
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Wahid Ali
pro
AI Search Optimization Platform
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32
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Aaryann Chandola
pro
TheOS- The Enterprise AI Operating System for your workspace
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24
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Rishabh Bothra
Playbird - AI powered contract reviews, markups, and analyses.
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4
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Aparna Soneja
AI Agent that transforms Trello sprint data into a report
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9
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Rohith Singh
Linea - AI Workflow Orchestration Platform
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10
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Ajay Bidyarthy
Ajay Bidyarthy is the Founder and Chief Executive Officer of Blackcoffer and an AI Engineer with expertise in developing intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. He designs and builds AI-powered applications—ranging from conversational agents to data-driven automation—by leveraging modern frameworks and cutting-edge technologies.
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405
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Abhishek Kumar
pro
Pharmaceutical company portal
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119
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Anurag Nagare
Most AI research tools are just a chatbot with a search button. I built something different. Every time you ask an AI to research something, you're getting one model, one pass, no quality check. It writes confidently, cites poorly, and you have no idea if what it produced is actually accurate. For anyone making real decisions from AI-generated research, that's a silent risk most people ignore. The problem gets worse at scale the longer and more complex the question, the more a single model hallucinates, misses sources, and loses structure. There's no one checking its work. So I built ResearchOS a 5-agent pipeline where each agent has one job. A Supervisor breaks down your question. A Researcher runs parallel searches across 22+ sources. An Analyst extracts data and auto-generates charts. A Writer synthesises a cited report. A Critic fact-checks it and sends it back for revision if anything is wrong. The loop runs up to 3 times before the report is approved. One question in. A full cited report with charts and PDF export in under 10 minutes. I tested it live by watching the Critic catch a missing citation mid-run and send the Writer back to fix it before approval. That's the part that makes this actually usable for real work. Built on LangGraph, Groq, Tavily, ChromaDB and runs entirely on free tiers.
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Bulbul Gupta
Built an AI-powered customer support chatbot that can handle user queries instantly and automate business communication. The chatbot understands user intent and provides accurate, context-aware responses using advanced AI models. It is designed to reduce manual effort, improve response time, and enhance customer experience. This solution can be integrated into websites or apps to provide 24/7 automated support, helping businesses save time and increase efficiency. "Open to building custom AI solutions for businesses"🚀 .
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Harshil Lakhani
🚀 Built something crazy with AI… Most AI website generators give you the same thing: ❌ repetitive layouts ❌ generic designs ❌ obvious AI look So we built Autogenix 👇 An AI engine that generates fully unique websites in one click. Not templates. Every output is fresh, usable, and production-ready. ⚡ What it does: • Generates UI designs + assets • Outputs clean HTML/CSS code • Builds full single-page websites • Works with your existing backend Go from idea → working interface in seconds.
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Ravi Gorani
Developed an AI-powered Marketing Campaign Automation platform that helps businesses create, manage, and optimize marketing campaigns across multiple channels with minimal manual effort. The solution leverages Generative AI and conversational AI to streamline campaign planning, content generation, audience targeting, and performance analysis. The platform enables marketing teams to launch campaigns faster while improving engagement and conversion rates. Inspired by modern AI-driven marketing approaches that automate campaign workflows and personalized customer interactions.
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Himanshu Vaghela
pro
Vachanamrut AI Companion — AI Knowledge Assistant Designed and developed an AI-powered conversational assistant that makes the teachings of the Vachanamrut accessible through natural-language interaction. The system allows users to ask questions in Gujarati or English and receive context-aware answers grounded in the Vachanamrut knowledge base. Key Features RAG-based knowledge retrieval AI-powered conversational Q&A Gujarati and English language support Voice-based question input Context-aware responses grounded in source content Structured knowledge processing and retrieval Google Gemini AI integration Simple, accessible interface for spiritual knowledge discovery Focus: Generative AI · RAG · LLM · Knowledge Assistant · Voice AI · Multilingual AI · Full-Stack Development
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