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A newer version of the Streamlit SDK is available: 1.44.0

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metadata
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.