Hackathon Project · AI + Sustainability

BioBloom

An AI-powered sustainable agriculture ecosystem combining crop intelligence, biowaste optimization, and supply-chain transparency.

Next.js 15ReactSanity CMSTypeScriptAI / LLMsRAGBlockchainTailwind CSSmotion.dev
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Key Features

Agentic AI analyzes soil data, crop history, and climate patterns to recommend optimal crop rotation and disease prevention strategies.

Tech Stack

Next.js 15 — Server Actions and Partial Prerendering

TypeScript — Type-safe development

Tailwind CSS — Utility-first styling

shadcn/ui — Radix-based accessible components

motion.dev — Smooth animation orchestration

Sanity CMS — Headless content management

GROQ — Structured querying

RAG + LLMs — Context-aware reasoning

Blockchain — Decentralized verification

Challenges & Learnings

Building Agentic AI Systems

Orchestrating multiple AI agents, decision pipelines, and reasoning layers to deliver reliable agricultural intelligence.

Real-Time Data & RAG Pipelines

Handling live agricultural datasets, embeddings, vector search, and latency-sensitive queries.

Blockchain Integration

Implementing transparent smart contracts and ensuring data integrity across the supply chain.

Design & Component Composition

Advanced shadcn/ui composition, motion hierarchy, staggered animations, and accessibility-first design. Typography width, spacing, and rhythm must match the reference exactly.

Outcome

BioBloom emerged as a robust real-world demonstration of applying AI, RAG systems, and blockchain to sustainability challenges. The project showcases full-stack depth, system-level thinking, and the ability to transform complex technology into practical, user-friendly solutions.