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.

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Built with excellence for the Hackathon.