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