Automate the tedious process of writing bids and responding to Request for Tenders (RFTs) with the help of OpenAI's LLM API. This system tailors each bid using a mix of pre-defined templates and dynamically generated text, aiming to improve both efficiency and proposal quality.
- Template-based Proposals: Utilise customisable templates for various sections of a bid.
- Dynamic Text Generation: Leverage OpenAI's LLM API for generating tailored content.
- User-Friendly Input: Simple form-based input for key RFT details.
- Database-Driven: Store and manage past bids and templates in MongoDB.
- Review and Edit: Final review step to fine-tune the generated bid.
- Export Options: Export the final draft in multiple formats like PDF, Word etc.
- Jupyter Notebook for development and testing
- MongoDB for database storage
- OpenAI LLM API for text generation
- Express.js for optional web interface
- Clone the repository.
- Install dependencies.
- Set up MongoDB and populate it with initial data.
- Run the notebook to start the system.
- Fork the project
- Create your feature branch (
git checkout -b feature/fooBar) - Commit your changes (
git commit -am 'Add some fooBar') - Push to the branch (
git push origin feature/fooBar) - Create a new Pull Request
Unlicense