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Sephiroth-YIT: Crop-Sense AI

An AI-powered crop disease intelligence system designed for field agronomists. Analyze leaf photographs using Computer Vision (TensorFlow) and Large Language Models (LLM) in real-time.

🚀 Key Features

  • Intelligent Diagnostics: Supports ResNet and MobileNet architectures for disease classification.
  • LLM Insights: Real-time expert advice and remediation strategies.
  • Drone Integration: Dashboard uplink for field mission data.
  • Field Metrics: Soil moisture, ambient temperature, and growth trend analysis.

📁 Project Structure

  • frontend/ - Next.js 15 UI with Tailwind CSS & Framer Motion.
  • backend/ - FastAPI Python backend with TensorFlow integration.

🛠️ Getting Started

Backend (Python)

  1. cd backend
  2. pip install -r requirements.txt
  3. python run.py (Runs on http://localhost:8000)

Frontend (Next.js)

  1. cd frontend
  2. npm install
  3. npm run dev (Runs on http://localhost:3000)

🤖 Deployment

This application is designed to be deployable as a local web application for real-time field use.

Built with excellence for the Hackathon.