AgroMind Loan / Farm Price Prediction Model
Model Description
Two scikit-learn models for agricultural loan assessment:
- price_model.pkl – Predicts farm land price based on area, location, soil type, and income.
- approval_model.pkl – Predicts loan approval probability.
Framework
- Library: scikit-learn
- Format: joblib (.pkl)
Input Features (Price Model)
| Feature | Type |
|---|---|
| area | float |
| distance_from_road | float |
| income | float |
| land_contour_hilly | 0/1 |
| land_contour_sloping | 0/1 |
| soil_type_clay | 0/1 |
| soil_type_sandy | 0/1 |
| soil_type_silty | 0/1 |
Usage
from huggingface_hub import hf_hub_download
import joblib
repo = "Arko007/agromind-loan-prediction"
price_model = joblib.load(hf_hub_download(repo, "price_model.pkl"))
approval_model = joblib.load(hf_hub_download(repo, "approval_model.pkl"))
Output
- price_model: Predicted farm price (float, INR)
- approval_model: Loan approval prediction