i-manager Publications

Intelligent Medical Chatbot for Early Detection of Infections

Ch. Hemanth Kumar*, Moulali Shaik**, Syed Subhani***, Shaik Najirun****, Durga Chandra Shakar Yadav G.*****

*-***** Eswar College of Engineering, Guntur, Andhra Pradesh, India.

Periodicity:January - March'2025
DOI : https://doi.org/10.26634/jcom.12.4.21819

Abstract

In the rapidly evolving digital landscape, chatbots play a vital role in enhancing human-computer interaction, automating customer support, and improving information accessibility. This paper presents a medical chatbot designed using Natural Language Processing (NLP) and Deep Learning techniques to respond to user queries related to medical information. Developed with the Django framework, the chatbot supports both text and voice interactions. It employs TF-IDF vectorization for query matching and an LSTM-based encoder-decoder model for dynamic response generation. The model is trained on a COVID-19 dataset comprising 88 records across 21 intents. Speech recognition is enabled through the Google Speech API, allowing voice-based communication, while multilingual capabilities are integrated using the Google Translate API. User data and chat history are managed through a MySQL database, and the platform supports user authentication. This web-based application aims to improve access to healthcare information by offering an intelligent, interactive, and user-friendly solution.

Keywords

Medical Chatbot, NLP, Disease Prediction, Speech Recognition, Healthcare AI.

How to Cite this Article?

Kumar, C. H., Shaik, M., Subhani, S., Najirun, S., and Yadav, G. D. C. S. (2025). Intelligent Medical Chatbot for Early Detection of Infections. i-manager’s Journal on Computer Science, 12(4), 29-42. https://doi.org/10.26634/jcom.12.4.21819

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Intelligent Medical Chatbot for Early Detection of Infections

Abstract

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