This Jupyter Notebook automates the analysis of blood test reports and provides health recommendations based on the findings. The workflow leverages CrewAI for task automation, PyPDF2 for reading PDF files, and additional tools for web research.
- Blood Test Report Reading: Extracts data from specific pages of a PDF blood test report.
- Automated Task Assignment: Uses various agents (Blood Test Analyst, Article Researcher, Health Advisor) to analyze, research, and provide health recommendations.
- Seamless Workflow Execution: Tasks are executed sequentially, passing context from one to another for efficient processing.
Before running the notebook, ensure that you have the following requirements:
Ensure Python is installed, and then install the required libraries by running the following command:
pip install crewai PyPDF2The workflow requires API keys for certain tasks. Set up your environment by replacing the placeholders with your actual keys.
os.environ["SERPER_API_KEY"] = "<your_serper_api_key>"
os.environ["OPENAI_API_KEY"] = "<your_openai_api_key>"Download the PDF blood test report you want to analyze and update the file path in the notebook.
pdf = "<path_to_your_blood_test_report.pdf>"- Open the Jupyter Notebook : Open the Jupyter Notebook containing the workflow.
- Execute the Cells : Run the cells in the notebook sequentially, or execute all at once depending on your preference.
- Review the Output : Upon execution, you'll receive a summary of blood test results and personalized health recommendations based on web research.
- Blood Test Analyst : Extracts and analyzes the blood test results.
- Article Researcher : Searches for articles related to any abnormal findings or relevant health metrics.
- Health Advisor : Provides health recommendations based on the research and analysis.
- Ensure your PDF blood test report is formatted properly for text extraction.
- The health recommendations are based on automated web research and always consult a healthcare professional for medical advice.