AI-Based Seed Quality Assessment & Farmer Feedback System
B.Tech final-year project using Next.js, Tailwind CSS, Shadcn/UI, Supabase, ResNet50, and Azure AI Foundry with GPT-4o mini. Trained a ResNet50 model to detect seed quality with a 0–100 score and Genuine/Counterfeit/Suspicious risk labels. Developed a web application with a Farmer Complaint Module for district-level seed quality reporting and integrated GPT-4o mini for contextual advisory responses. Solely responsible for the AI model training pipeline and UI/UX design.
MTU Technical Fest Website – FENOMENON 2026
Frontend Developer project using React.js, Next.js, and Tailwind CSS. Designed and shipped the official responsive event website with event schedules, registration information, and real-time updates for more than 500 attendees.
BoardroomAI Lite – Multi-Agent Startup Strategy Simulator
Built an AI-powered multi-agent system using n8n workflow orchestration and LLM APIs. Role-based CEO, CTO, Marketing, and Finance agents collaboratively analyze startup ideas and generate business strategies, MVP plans, budget breakdowns, and investor-focused reports.
