Here’s a README file that explains how to set up, run, and understand the code provided:

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AI Internship Assignment - CrewAI Implementation

Overview

This project implements a CrewAI setup with two agents: a Doctor and a Researcher. The goal is to analyze a blood test report and provide health recommendations based on the analysis and relevant online research.

• Doctor Agent: Analyzes the blood test report provided as a PDF.
• Researcher Agent: Searches the internet for articles that fit the person’s needs and makes health recommendations based on the Doctor’s analysis.

Project Structure

• health-check-recommendations: Contains the implementation of the CrewAI setup, including the definition of agents and tasks.
• README.md: The file you are currently reading.
• Dependencies: External libraries used for PDF processing and web requests.

How to Run the Code

1. Clone the Repository

git clone https://github.com/mahak-juriani/health-check
cd health-check

2. Install Dependencies

Make sure you have Python 3.7+ installed. Then install the required libraries:

pip install crewai crewai_tools pdfplumber urllib3 requests

3. Set Up Your Environment

Replace "YOUR_OPENAI_API_KEY" in the health-check-recommendations file with your actual OpenAI API key:

os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"

4. Run the Script

Execute the script using the following command:

python health-check.py

5. Expected Output

• The Doctor agent will analyze the blood test report linked in the code.
• The Researcher agent will search for relevant health information on the internet and provide links to useful articles.
• The output will be printed in the console, showing the results of the analysis and the recommendations.

Code Explanation

Agents

• Doctor Agent: Reads and analyzes the blood test report. This agent uses pdfplumber to extract text from the provided PDF and then performs an analysis based on the extracted data.
• Researcher Agent: Performs a web search using the DuckDuckGo API and provides health recommendations based on the Doctor’s findings.

Tasks

• Task 1: Investigates the blood test report using the Doctor agent.
• Task 2: Uses the Researcher agent to find articles related to the health needs identified in the blood report.

PDF Handling

The PDF report is fetched from the provided URL, and its contents are read using the pdfplumber library. This text is then processed by the Doctor agent.

Web Search

The Researcher agent uses a custom WebSearch tool to query the DuckDuckGo API for relevant articles. If successful, the search results are returned and analyzed for health recommendations.

Notes

• PDF File: Ensure that the PDF file is accessible via the provided link. If the link is broken, update the report_file_link variable with a working URL.
• Web Search: The DuckDuckGo API may have limitations; consider using other APIs or methods if needed.

Potential Improvements

• Enhanced PDF Parsing: Implement more advanced parsing techniques to extract structured data from the PDF.
• Error Handling: Improve error handling, especially in the web search functionality.
• More Agents: Consider adding more agents for specific tasks, such as diet recommendations or exercise plans.

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This README provides a comprehensive guide on how to set up, run, and understand the project, ensuring that anyone with basic knowledge of Python can get the system up and running.