Market Research & Use Case Generation Agent

The Market Research & Use Case Generation Agent is an AI-powered application designed to assist companies in identifying relevant market insights and proposing strategic AI/ML implementations. This tool leverages multi-agent architecture to generate comprehensive reports on industry trends, competitor analysis, and potential AI/ML use cases. Built with Flask on the backend and React for the frontend, this project provides users with actionable insights and downloadable reports in PDF format.

Demo

The project is live at: agentai-seven.vercel.app

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Features

• Multi-Agent System: Includes agents for industry research, competitor analysis, AI/ML innovation, and report writing.
• Comprehensive Report Generation: Produces detailed, multi-section reports in PDF format.
• Automated Web Search: Uses CrewAI and Serper for real-time web data collection.
• Interactive Frontend: Allows users to input company names and receive downloadable reports.
• Cloud-Ready Deployment: Hosted on Vercel and connected to an AI processing backend.

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Architecture

This project uses a modular architecture with four specialized agents:

1. Industry Research Agent: Gathers data on industry trends, company products, and mission/vision.
2. Competitor Analysis Agent: Provides insights on competitors and compares the target company with them.
3. Innovation Agent: Suggests AI/ML use cases and highlights innovations by competitors.
4. Report Writing Agent: Combines the above insights into a well-organized report.

The project leverages:

• Flask for the backend API.
• React for the frontend interface.
• CrewAI with the Gemini language model and Serper web search for data aggregation.
• WeasyPrint for HTML to PDF conversion.
• CORS to allow cross-origin resource sharing between frontend and backend.

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Installation

Prerequisites

Ensure you have the following installed:

• Python 3.x
• Node.js and npm
• A Flask-compatible environment
• API keys for Serper and Google Generative AI

Backend Setup

1. Clone the repository:

   git clone https://github.com/alok12-3/agentai.git

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Replace SERPER_API_KEY and GOOGLE_API_KEY in the code with your actual API keys or add them to an .env file if you prefer.

4. Run the Flask server:

   python flask_app.py

Frontend Setup

1. Navigate to the frontend directory and install dependencies:

   cd react_app
   npm install

2. Start the React frontend:

   npm run dev

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Usage

1. Visit the frontend interface at agentai-seven.vercel.app.
2. Enter the name of the company you want to research and click Run Research and Generate Report.
3. Wait a few minutes as the agents process the request.
4. Download the generated PDF report when it becomes available.

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Project Structure

MarketResearchAgent/
├── app.py                # Flask backend application
├── frontend/             # React frontend application
├── requirements.txt      # Python dependencies
├── README.md             # Project documentation
└── .env.example          # Example environment variables

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API Endpoints

POST /generate_report

Description: Generates a market research report for a specified company.

Request Body (JSON):

{
  "company": "CompanyName"
}

Response: PDF file download of the report.

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Tech Stack

• Backend: Flask, CrewAI, Serper,langchain, Google Generative AI, WeasyPrint
• Frontend: React, HTML, CSS
• Hosting: Vercel

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License

This project is licensed under the MIT License.

Acknowledgments

• CrewAI
• Serper
• Langchain Google GenAI