Assumptions

The MediMind application is based on several key assumptions:

• Data Quality: The accuracy of the system depends heavily on the quality and completeness of the symptom-disease dataset used to train the RNN model.

• Model Limitations: The RNN model and the LLM are not perfect and may produce incorrect predictions or recommendations.

• User Input: The accuracy of the analysis depends on the user’s ability to accurately and completely describe their symptoms.

• Medical Disclaimer: MediMind’s output is purely informational and should never replace professional medical advice.

• LLM Capabilities: The LLM’s responses depend on the quality of its training data and its ability to understand medical contexts.