Built a production-ready AI-powered lead qualification and CRM automation system using n8n, Google Gemini AI, Google Sheets, Gmail, and Google Calendar. The solution automatically captures inquiries, scores and classifies leads (hot/warm/cold), sends personalized email responses, updates CRM records, schedules follow-ups, tracks replies, and generates daily lead digests. Automated webhook-driven workflows streamline lead management, improve response times, and help businesses prioritize high-value opportunities.
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Co-built for Google Solution Challenge 2026 as part of a 2-person team. An AI-powered audit system that detects contradictions between citizen-reported evidence and official government records using Gemini API — enabling transparency and accountability. Built with TypeScript and Gemini, designed for real social impact at scale. Submitted to Google's global developer competition.
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Full-stack AI road trip planner that computes the cheapest fuel-stop strategy for any US route. Built using Django REST API, React, Mapbox, and a custom optimization algorithm. Deployed live on Vercel + Render.
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Automated compliance audit platform built at ISRO's Space Applications Centre. Reduced 4-day manual security audits to 4 hours. Stack: FastAPI, Celery, Redis, PostgreSQL, React, Docker.
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Built during my Generative AI internship at SmartBridge. An AI assistant that combines computer vision with conversational LLMs — upload any vehicle image and get structured, detailed insights through a chatbot interface. Designed an image-to-insight pipeline using Gemini API vision models and prompt engineering, wrapped in an interactive Streamlit application that supports dynamic follow-up queries. Demonstrates multimodal AI, RAG-style retrieval, and real-time LLM interaction in a single product.