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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I build custom AI-powered contract analysis web applications that help users review contracts, identify risks, and generate clear recommendations in minutes.
Using LangChain, RAG, Llama models, Hugging Face embeddings, Flask, and Docker, I create production-ready solutions that can analyze PDFs, DOCX files, and text documents, detect risky clauses, generate plain-English summaries, and provide structured risk scores.
Perfect for LegalTech startups, law firms, procurement teams, HR departments, and founders looking to automate contract review workflows.
Includes source code, deployment, customization, and post-launch support.
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🚀 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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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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I designed and built Pristine's entire digital operations platform, from database architecture and role-based workflows to a production-deployed web suite and an AI analytics layer.
The challenge was replacing a ceramic processing plant's paper-and-spreadsheet production logs with a system that floor operators would actually use, while giving management the traceability and insight the paper trail never could. Every decision focused on data integrity, least-privilege security, and keeping the interface simple enough for shift operators to work quickly.
I built four services around a single PostgreSQL schema. The operator app handles the full production lifecycle: raw material intake, drying plant shifts, multi-section ball mill batch entry, quality control, and finished-goods inventory, with Excel export throughout and navigation that adapts to each of eight distinct plant roles. A modular Express and Prisma API enforces that access control at the route level. A separate React-Admin console keeps master data (mills, grades, recipes, suppliers, users) out of the operator's way.
The most important piece was traceability. I designed a quality control gate that sits between production output and inventory. QC records are created automatically when a batch completes, reviewed by an inspector, and only generate an inventory entry if quality passes. Every finished bag carries an auto-derived lot number encoding its production date, flow rate, monthly sequence, and bag count, so any outbound shipment can be traced back through inventory and QC to the exact mill batch that produced it.
On top of that I built an AI analytics agent that lets managers query the plant in plain English, architected around a zero-data-to-LLM guarantee. The model only ever sees the database schema and the question, never a row of production data. Five independent layers enforce it: two least-privilege Postgres roles separating read-only queries from insert-only auditing, a sqlglot AST guard that rejects any non-SELECT statement, a per-role table allowlist, the prompt design itself, and a full audit log of every interaction. Answers stream to the browser over Server-Sent Events through a LangGraph pipeline that routes, guards, plans the query, executes, then explains the result in business terms.
Tech Stack: React 19, TypeScript, Ant Design, TanStack Query, Tailwind CSS v4, Node.js, Express, Prisma, PostgreSQL, React-Admin, MUI, Python 3.12, FastAPI, LangGraph, OpenAI, AWS EC2, Nginx, Supabase, Vercel.
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Project 4 — RAG Document Chatbot
Title: RAG Document Chatbot — LangChain · ChromaDB · Streamlit
Description: Fully local RAG application: PDF ingestion → 500-token semantic chunking → 73-chunk ChromaDB vector store → LangChain retrieval chain with source citations and multi-turn memory. Streamlit UI, no external API dependency.
Link: https://github.com/Krupa03/rag-document-chatbot
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Most portfolio websites are dead. 💀
Mine talks back.
Instead of clicking through menus, visitors just tell my AI what they want — and it drives the entire site autonomously.
Here's what it does in real time:
🟢 Scrolls to the right section on command
🟢 Mounts specific project components instantly
🟢 Captures leads — zero contact forms needed
No buttons. No navigation bars. Just language.
This is Generative UI.
And I think it's what every e-commerce store and SaaS product will look like in 2 years.
We keep building chatbots that spit out text.
But the real unlock is giving AI control over the UI itself.
Human language replacing the mouse click — that's the shift.
🔗 Live site in the comments. Go boss the AI around.
What would YOU build if your UI responded to language instead of clicks? Drop it below 👇
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