Provides preliminary medical diagnoses based on user symptoms and history.

• We have a CompounderAgent and a CompounderProxyAgent.
• The CompounderProxyAgent is representing the user.
• The CompounderAgent asks the CompounderProxyAgent some of the most basic questions (to get primary symptoms) from a document titled 2_Questioning_Framework_Level_1.md
• The information is compiled to a user_symptoms.json file.

• There is an AI agent whose role is to assign relevant medical professionals to the user/patient.
• It uses data from user_symptoms.json file.
• It consists of a list of medical professionals in the file named 1_List_of_Medical_Professionals.md.
• The medical professionals are selected by the AI agent based on user_symptoms.json file. To create a group, it is mandatory to have at least three agent in the group.
• The selected medical professionals are compiled to selected_agents.json.

• The selected agents are loaded from selected_agents.json file and are added to a group chat.
• The user_symptoms.json file is loaded as well.
• A ChatManagerAgent is created to manage the group chat.
• Then the CompounderProxyAgent initiates the group chat.
• It then forwards user_symptoms.json file to the group chat and asks to diagnose the user.
  • The agents try to diagnose the user by going through their symptoms.
  • They might ask detailed questions pertaining to the user's lifestyle and symptoms and health history.
  • These questions are asked strictly with reference to the the following documents:

3_Primary_Complaint_Symptom_Level_2.md
4_Health_History_Level_2.md
5_Lifestyle_Factors_Level_2.md
6_Environmental_Occupational_Factors_Level_2.md

• There is a dialogue between the group of agents and the user (CompounderProxyAgent) until they arrive at a diagnosis.
• They stick to the Occam's Razor principle while diagnosing the user.

1. Clone this repository onto your system :
   

git clone "https://github.com/FreeGym/Diagnosis-Bot.git"

2. Navigate to the cloned directory :
   

cd Diagnosis-Bot

3. Create a conda environment from the environment.yml file :
   

conda create -f environment.yml

4. Activate the conda environment :
   

conda activate diagnosis_bot

5. Run the application using the following command:
   

python src/main.py