AI-Powered Cost Optimizer is a Streamlit-based web application that helps users optimize costs efficiently by leveraging AI models and interactive data analysis tools. This project is useful for organizations or users looking to reduce expenses, forecast costs, and improve resource allocation in fields such as biotechnology, cloud infrastructure, and general project management.[2][3][1]
- Interactive data upload and analysis
- Cost optimization using AI models
- Real-time reports and insights
- User-friendly Streamlit web interface
- Python-based backend with HTML components[3][1]
- Python 3.8+
- pip package manager
- Clone the repository:
git clone https://github.com/manavpatel2302/AI-Powered-Cost-Optimizer.git cd AI-Powered-Cost-Optimizer - Install dependencies:
pip install -r requirements.txt
- Download the dataset:
- Retrieve the sample data set from the
uploadsfolder as referenced in the repository. - Alternatively, use your own CSV-formatted cost data.
- Retrieve the sample data set from the
To launch the Streamlit app locally:
streamlit run app.pyThe application will open in your default browser. You can upload your dataset and start exploring cost optimization features.[1][3]
- Navigate to the upload section to add your cost dataset.
- Try out different AI models as implemented in the app for analysis.
- Download reports and analytics after processing.
- Use demo options to test the workflow without uploading sensitive data.[1]
Contributions are always welcome! Here is how you can contribute:
- Fork the repository, create your own feature or bugfix branch.
- Submit pull requests with concise descriptions.
- Open issues for feature requests or bug reports.
| Technology | Purpose |
|---|---|
| Python | Backend logic and AI models |
| HTML | Web UI customization |
| Streamlit | Web framework for user interface |
| AI models | Cost optimization and analytics |
This repository currently does not specify a license. Consider adding an open-source license as appropriate.[1]
For demo and live testing:
Streamlit Web App: ai-powered-cost-optimizer.streamlit.app/
Refer to repository readme for more details.[1]