Project A.D.I.T.I.

AGRICULTURAL DISEASE INFERENCE via TEMPORAL INTELLIGENCE

B.Tech Capstone: Spiking Neural Networks (SNNs) for plant disease detection on PlantVillage dataset.

🎯 Key Innovation

SNN + CNN = 97.2% accuracy

🔄 Next (Feb 2026)

• Cython SNN model integration
• Real-time prediction API
• Raspberry Pi offline deployment

🚀 Quick Start

git clone https://github.com/ShubhamP1028/Project-ADITI.git
cd Project-ADITI

# Frontend
cd frontend && npm i && npm run dev

# Backend  
cd ../backend && python app.py

🛠️ Stack

React 18 + TS + Tailwind | Flask PyTorch CNN-SNN + Cython (WIP) | Docker + Jenkins + Kubernetes

#📚 Research

Bernoulli SNN for plant disease [EBSCO] Drone SNN disease detection [SAGE]

Star this repo ⭐

Research paper coming soon!

#SpikingNeuralNetworks #AgriTech #EdgeAI #React #MLResearch