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Case studies built for quick scanning and deeper technical review.
AI Interview Assistant
PrepMate-AI
An AI-powered interview preparation platform with role-specific technical Q&A, saved sessions, and secure user flows.
PrepMate-AI is a strong full-stack product story because it combines AI integration, authentication, session design, and a clean frontend experience in one coherent workflow. It shows how I build practical AI features around a real user need instead of treating AI as just a demo layer.
Full-stack / MERN / Gemini AI
Read chapterAI Agricultural Advisory
Digital Krishi Officer
A full-stack advisory platform that lets farmers submit crop queries and receive structured AI-powered recommendations.
Digital Krishi Officer stands out because it applies AI in a practical, domain-specific way. It is not just an interface exercise - it connects farmer inputs, advisory generation, and system workflows into one usable platform with a clear social and product purpose.
Full-stack / Next.js / AI workflow
Read chapterGlobal Conflict Impact Analyzer
Chakravyuh AI
A backend-focused platform built to analyze how global conflicts affect supply chains, fuel availability, and trade.
Chakravyuh AI is the most system-heavy project in the portfolio. It shows backend thinking, API design, data ingestion, and architecture work aimed at turning large, multi-source datasets into usable insights for a frontend layer.
Backend-focused full-stack engineer
Read chapterMore builds
Supporting proof across MERN and product-focused web apps.
MERN Commerce Platform
Food Delivery Website
A fully functional MERN-based food delivery platform built around responsive browsing and efficient order processing.
This project is a solid full-stack foundation piece. It shows practical MERN implementation, responsive frontend development, and backend workflow handling for an ordering platform.
Full-stack / MERN
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