Concrete Strength Prediction

Concrete Strength Prediction is a machine learning project that leverages advanced algorithms to predict the strength of concrete based on various input features. The entire application is built using Streamlit, providing an interactive and user-friendly interface for users to explore and understand the predictions.

WebPage

WebPage Link:- https://strengthforecast.onrender.com

projectdemo.mp4

Installation

1. Clone the repository:

git clone https://github.com/Priyanshu-Ganwani09/Concrete-Strength-Prediction.git

2. Navigate to the project directory:

cd Concrete-Strength-Prediction

3. Install dependencies:

pip install -r requirements.txt

4. Run the streamlit app:

streamlit run app.py

Workflow of Machine Learning Model:

Key Features

Machine Learning Models Utilizes powerful machine learning models to analyze concrete strength patterns.

The application is developed using Streamlit, a modern and intuitive Python library for creating web applications with minimal effort.

Employs predictive analytics to forecast concrete strength, allowing users to make informed decisions.

Tech stack

Data source

Dataset Source

Features updates

-intregate more function and tools for prediction in website

Support

For support, email priyanshu@priyanshuganwani8999@gmail.com