Copper Alloy Recommendations

Welcome to the Copper Alloy Recommendations project, an ML-powered Streamlit app for recommending copper alloy compositions based on thermal conductivity. The app includes existing alloys from Copper.org and generates novel compositions using an inverse modeling approach from my thesis at the Australian National University in 2020. The full project report is available here.

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/copper-alloy-recommendations.git

2. Navigate to the project directory:

   cd copper-alloy-recommendations

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Open your web browser and go to http://localhost:8501 to access the app.

3. Enter the desired thermal conductivity value and click "Get Recommendations" to see the suggested copper alloy compositions.

Author

Abhinav Pandey
Bachelor's of Advanced Computing (Honours)
Australian National University
2020