AgriSmart

Live: View Website Code: Frontend | Backend

Introduction & Purpose

AgriSmart was developed for a hackathon to showcase how AI and modern web technologies can assist farmers in managing their resources and knowledge. It includes a Gemini-powered AI chatbot, a farm dashboard, a forum, and a scalable backend. Though the IoT integrations were conceptual, the demo illustrated how sensors and cameras could enhance farming efficiency.

AI-Powered Farming Assistance

An integrated Gemini AI assistant answers farming-related questions via a chat interface. It uses RESTful API calls and handles interactions with efficient state management on the frontend.

Highlights:

• Gemini AI for natural language query resolution
• React-managed input and output flow
• API endpoints for streamlined chat functionality

Community Forum & Knowledge Sharing

Farmers can ask questions, share knowledge, and engage through a forum built with MongoDB and Express. Firebase manages secure authentication, and React Query ensures real-time interactions.

Key features:

• Forum threads and replies stored in MongoDB
• Firebase Auth with Google and email support
• Smooth UX through data caching and invalidation

Farm Management Dashboard

The dashboard displays seed inventory, equipment status, and crop/soil health stats. It’s built with a responsive UI and interacts with the backend for CRUD operations.

Core elements:

• Tailwind CSS + DaisyUI for responsive design
• React Router and Hook Form for navigation and validation
• Express routes to manage resource data

Smart Farming Integrations

While physical sensors weren’t implemented, the architecture was designed for real-time smart farming. The UI visualizes how sensor feeds could inform soil and crop health tracking.

Planned capabilities:

• WebSocket-based data streaming
• Sensor data hooks and charting
• Ready for machine learning model expansion

Why AgriSmart?

AgriSmart merges AI, community, and dashboard utilities into a unified tool for modern agriculture. Its architecture is prepared for future expansion into real-time IoT and predictive analytics.

Strengths:

• Gemini AI for accessible farming help
• Scalable backend with RESTful design
• Responsive, mobile-ready UI
• Secure login with Firebase
• Concept-ready IoT integration

Tech Stack

Frontend

React.js, Vite, Tailwind CSS, DaisyUI, React Router DOM, React Hook Form, TanStack React Query, Firebase

Backend

Node.js, Express.js, MongoDB, Axios, Cors, Dotenv, Nodemon, Gemini AI

Deployment

Vercel (Backend), Firebase Hosting (Frontend + Auth)