# rfp-resume-builder **Repository Path**: mirrors_microsoft/rfp-resume-builder ## Basic Information - **Project Name**: rfp-resume-builder - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-08-15 - **Last Updated**: 2026-03-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # RFP Accelerator Apply GEN AI to RFP ## Setup steps 1. **Prerequisite** - Create a blob storage account - Create a Document intelligence services - Create a OpenAI service and deploy a model - Create manage identity between Blob sorage and Document intelligence 2. **Clone the repository** 2. **Install dependencies** - Ensure you have [Node.js](https://nodejs.org/) installed. - Run the following command to install the required front-end dependencies: ```sh npm install ``` - Create a new python virtual environment via the requirements.txt file ```sh pip install -r requirements.txt ``` 3. **Configure environment variables** - Create a `.env` file in the root directory. - Add the necessary environment variables as specified in `.env.example`. 4. **Run the application** - Start the front-end: ```sh npm start ``` - Start the back-end: ```sh python app.py ``` # Project > This repo has been populated by an initial template to help get you started. Please > make sure to update the content to build a great experience for community-building. As the maintainer of this project, please make a few updates: - Improving this README.MD file to provide a great experience - Updating SUPPORT.MD with content about this project's support experience - Understanding the security reporting process in SECURITY.MD - Remove this section from the README ## Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.