Disease Dagnosis Chatbot

by Ritwika Das Gupta

Steps for running the project:

Step 1: Download the project as a zip file and extract it and save it. Step 2: Use Kaggle or Jupyter Notebook or Google Colab to run it.

Abstract

The Disease Diagnosis Chatbot is a multilingual chatbot designed for accurate disease diagnosis using advanced technologies such as machine learning (ML) and natural language processing (NLP). This project explores the foundational concepts of ML, NLP, and model optimization to develop an efficient and user-friendly healthcare solution.

Features

• Machine Learning (ML): Utilizes ML algorithms to analyze patterns within a dataset and make accurate predictions based on input symptoms.

• Natural Language Processing (NLP): Employs NLP techniques to understand and interpret human language, enabling conversational interactions with users.

• RoBERTa Model: Incorporates the state-of-the-art RoBERTa model for exceptional language understanding and disease prediction.

• Dataset Preprocessing: Ensures the quality of the training dataset by cleaning, formatting, and categorizing symptoms and diseases.

• Fine-tuning: Adapts the pre-trained RoBERTa model to the disease diagnosis task, enhancing its understanding of medical terminology and context.

• Java Gateway: Facilitates integration with external applications for seamless communication and interoperability.

Components

1. Machine Learning (ML): Details on ML algorithms and their role in disease diagnosis.

2. Natural Language Processing (NLP): Explains NLP techniques and their implementation in the chatbot.

3. RoBERTa Model: Introduction to the RoBERTa model and its fine-tuning process.

4. Dataset Preprocessing: Guidelines for dataset cleaning and formatting.

5. Fine-tuning: Instructions on fine-tuning the RoBERTa model for disease diagnosis.

6. Java Gateway: Integration guide for the Java Gateway to enhance chatbot usability.

Getting Started

To get started with the Disease Diagnosis Chatbot, follow the instructions provided in each component's README.

Contributing

Contributions are welcome! Please see our Contribution Guidelines for details on how to contribute to this project.

License

This project is licensed under the MIT License.