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Vikas Sahani
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"Krishi Rakshak: Lightweight EfficientNet-Based Crop Disease Classifier"

πŸš€ Sharing my end-to-end ML project: Krishi Rakshak β€” a crop disease classifier built with efficientnet_b0 for smallholder farmers.

βš™οΈ Model Highlights:

90%+ accuracy on PlantVillage (38 classes)

Trained with AdamW, scheduler, early stopping

Used weighted loss to handle class imbalance

πŸ“Š Evaluation:

Manual metric validation + confusion matrix

Precision, recall, F1, per-class accuracy

🧩 Deployment:

PyTorch + Gradio UI, multilingual support

Designed for light, modular inference

πŸ”— GitHub: https://github.com/VIKAS9793/KrishiRakshak.git
πŸ“Ή Demo: https://drive.google.com/file/d/1PDxYq5rOuCXZAldZlSd6Q3M5WIGXEtbJ/view?usp=drivesdk

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

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