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

1. Clone the repository.
2. Install dependencies.
3. Set up MongoDB and populate it with initial data.
4. 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