Project Description: This project focuses on developing an intelligent chatbot powered by Natural Language Processing (NLP) to assist users in identifying potential diseases based on their symptoms and providing actionable advice. The chatbot is trained using a robust text classification model to accurately detect diseases such as COVID-19, influenza, asthma, diabetes, and more. The dataset includes relevant symptoms for each condition, irrelevant examples to enhance accuracy, and categorized responses to ensure precise predictions.
Upon identifying a disease, the chatbot delivers tailored solutions and suggestions, including immediate actions, medical advice, and long-term care strategies. For instance, users reporting fever, cough, and fatigue might receive a COVID-19 diagnosis, along with advice to isolate, stay hydrated, and seek medical evaluation.
The system emphasizes user-centric design, offering clear, actionable, and empathetic guidance. It incorporates advanced NLP techniques to handle diverse inputs, ensuring reliability and user satisfaction. The chatbot's functionality extends to distinguishing irrelevant inputs, reducing false positives, and improving overall accuracy.
This project has the potential to revolutionize healthcare accessibility by empowering users to understand their symptoms and make informed decisions before seeking professional medical help. It serves as a complementary tool for early detection and health awareness, bridging the gap between users and healthcare resources.
