“Krishi Rakshak: Lightweight EfficientNet-Based Crop Disease Classifier”

🚀 Sharing my end-to-end ML project: Krishi Rakshak — a crop disease classifier built with efficientnet_b0 for smallholder farmers.

⚙️ Model Highlights:

90%+ accuracy on PlantVillage (38 classes)

Trained with AdamW, scheduler, early stopping

Used weighted loss to handle class imbalance

📊 Evaluation:

Manual metric validation + confusion matrix

Precision, recall, F1, per-class accuracy

🧩 Deployment:

PyTorch + Gradio UI, multilingual support

Designed for light, modular inference

🔗 GitHub: https://github.com/VIKAS9793/KrishiRakshak.git
📹 Demo: https://drive.google.com/file/d/1PDxYq5rOuCXZAldZlSd6Q3M5WIGXEtbJ/view?usp=drivesdk

Built independently from scratch — feedback welcome from ML/AgriTech community on optimization or scaling for noisy field data.