Create README.md

README.md

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----
-title: NewEnergy
-emoji: 🌍
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 5.9.0
-app_file: app.py
-pinned: false
-short_description: This is for IE32300
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Renewable Energy Potential Predictor
+
+This Hugging Face Space provides an interactive interface for predicting wind and solar power potential based on satellite imagery and environmental data.
+
+## How to Use
+
+1. Upload the required images:
+   - RGB Satellite Image
+   - NDVI (Normalized Difference Vegetation Index) Image
+   - Terrain Map
+   - Elevation Data (as .npy file)
+
+2. Enter weather parameters:
+   - Wind Speed (m/s)
+   - Wind Direction (degrees)
+   - Temperature (°C)
+   - Humidity (%)
+
+3. Click "Submit" to generate predictions
+
+The model will output two heatmaps showing the predicted wind and solar power potential for the given location.
+
+## Input Requirements
+
+- All images should be in RGB or grayscale format
+- Elevation data should be a NumPy array saved as .npy file
+- Weather parameters should be within reasonable ranges
+
+## Example Data
+
+The interface includes example data that you can use to test the model. Click "Run Example" to try it out.
+
+## Model Details
+
+The predictor uses a deep learning model trained on satellite imagery and environmental data to estimate renewable energy potential. The model architecture combines CNN-based image processing with weather data integration for comprehensive predictions.