---
title: Fricitonangle prediction of solid waste
emoji: 🚗
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: "1.29.0"
app_file: app.py
pinned: false
---

# Friction Angle Predictor

This Streamlit app predicts the friction angle of waste materials based on their composition and characteristics. The app uses a deep learning model trained on waste composition data to make predictions and provides SHAP value explanations for model interpretability.

## Features

- Interactive input for waste composition parameters
- Real-time prediction of friction angle
- SHAP waterfall plot for model interpretation
- User-friendly interface

## Usage

1. Enter the waste composition values in the input fields
2. Click "Predict Friction Angle" to get the prediction
3. View the results and SHAP waterfall plot for explanation

## Model

The model is a neural network trained on waste composition data. It uses the following features:
- Waste composition percentages
- Physical properties
- Material characteristics

## Requirements

See `requirements.txt` for all dependencies.