AI-Powered Market Research and Proposal Generation

This project automates the process of market research, use case generation, resource discovery, and final proposal creation using a multi-agent system powered by Large Language Models (LLMs) and Generative AI (GenAI). It leverages the Gemini API and a web browser tool to gather information, generate ideas, and create a comprehensive proposal document.

Getting Started

Installation

1. Clone the repository:

   git clone https://github.com/Jai0401/market-research-catalyst.git
   cd market-research-catalyst

2. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Linux/macOS
   venv\Scripts\activate  # On Windows

3. Install dependencies:

   pip install -r requirements.txt

Configuration

1. Set up environment variables:

   • Create a .env file in the project root directory.
   • Add your Gemini API key and Exa API key to the .env file:

     GEMINI_API_KEY=<your_gemini_api_key>
     EXA_API_KEY=<your_exa_api_key>
     

2. Configure the industry to research:

   • Open the config.py file.
   • Modify the COMPANY_OR_INDUSTRY_TO_RESEARCH variable to the desired industry or company:

     COMPANY_OR_INDUSTRY_TO_RESEARCH = "Agriculture"  # Example: "Healthcare"

Usage

Running the Pipeline

1. Run the main.py script:

   python3 main.py

   This will execute the multi-agent system, performing market research, generating use cases, collecting resources, and creating the final proposal. The outputs will be saved in the output directory.

Project Report