Project Overview
This project involves developing a chatbot that can predict diseases based on user symptoms. The chatbot interacts with users, collects their symptoms, and provides possible disease predictions using a machine learning model.
Key Features
The project involves the following key steps:
- Designing and developing the chatbot interface
- Building a machine learning model for disease prediction
- Training the model on medical datasets
- Integration of the model with the chatbot for real-time predictions
- Evaluation and refinement of the chatbot's prediction accuracy
Technologies Used
The project utilizes the following technologies:
- Python
- Flask for the web framework
- Natural Language Processing (NLP) for symptom analysis
- Scikit-learn for machine learning
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