brainstormers

A mind-mapping tool based on LangChain and Streamlit

CommonProductProductivityBrainstormingInnovation

Brainstormers is an application built on LangChain and Streamlit, designed to enhance your brainstorming experience by providing a structured and optimized chain inspired by effective brainstorming techniques from the real world. Unlike traditional direct usage of ChatGPT, this application allows for a structured brainstorming approach, guiding you to comprehensively explore ideas and maximize the benefits of LLM-driven brainstorming. The application offers various brainstorming techniques, including mind mapping, reverse brainstorming, role storming, SCAMPER, Six Thinking Hats, and Starbursting, enabling users to examine problems from different perspectives and spark innovative solutions.

Mind Mapping: Expands a broad range of ideas
suitable for gathering as many ideas as possible.
Reverse Brainstorming: Identifies ways to create problems
revealing potential pitfalls and facilitating innovative solutions.
Role Storming: Encourages adopting different perspectives to gather diverse insights.
SCAMPER Technique: Applies SCAMPER (Substitute
Combine
Adapt
Modify
Put to another use

The target audience includes businesses
entrepreneurs
and individuals in need of innovative solutions. This tool is suitable for them as it provides a structured environment to explore and optimize ideas
thereby enhancing the efficiency and effectiveness of brainstorming sessions.

Businesses use mind mapping to gather new product ideas.
Entrepreneurs identify potential business risks through reverse brainstorming.
Teams employ role storming to examine projects from various angles to foster collaboration and innovation.

1. Clone the repository: Use the git clone command to clone the brainstormers repository.
2. Navigate to the project directory: Enter the brainstormers project directory using the cd command.
3. Install dependencies: Run pip install -r requirements.txt to install the required dependencies.
4. Run the application: Start the application using the streamlit run ./app.py command.

Visit

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Monthly Visits

474564576

Bounce Rate

36.20%

Page per Visit

6.1

Visit Duration

00:06:34

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