cementStrengthPrediction1

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cementStrengthPrediction1

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// repository documentation

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# Concrete Comprehensive Strength Prediction App

This application is designed to predict the comprehensive strength of concrete using various machine learning models. It provides in-depth data analysis, predictions, model performance metrics, and tips for optimizing concrete strength. 
##

## Technology stack

## App Features
Overview: 
![photo_2024-08-27_13-07-39](https://github.com/user-attachments/assets/dc5937e4-ecc2-4bff-99e5-8830053e8972)

## Installation

##  Run code locally 
To run this project locally, follow these steps:

1. Clone the repository:
   ```sh
   git clone https://github.com/your-username/concrete-strength-prediction-app.git
   cd concrete-strength-prediction-app

2.  Create and activate a virtual environment:
        
   ```sh
   python -m venv venv
   ```
   On Windows
  ```sh
  venv\Scripts\activate
  ```
  On macOS/Linux
  ```sh
  source venv/bin/activate
  ```
## Using the Deployed Link

1. Click out the below link

[Click Here to Visit app](https://cementstrengthprediction1-4wuqj6unc2tz9perprjzac.streamlit.app/)

## Docker Hub Link:
[clickHere to pull DockerImage](https://hub.docker.com/repository/docker/mds2019/cementstrengthprediction/general)
 or Copy the below command and paste it in your CLI

```sh
docker pull mds2019/cementstrengthprediction.
```

This will pull the Docker image containing the pre-built application environment and dependencies, allowing you to run the application in a containerized environment.

In case, if you would like to connect with me:
#### Linkedin : https://www.linkedin.com/in/mohammad-salman-a633b9238/

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