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@article{174979,
        author = {Nikita  Pramod Badakh and Sakshi Sandip Bhagat and Vaishnavi Arun Bhalerao and Ritika Manoj Baheti},
        title = {AI Healthcare Bot System Using Python},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1989-1995},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174979},
        abstract = {This project aims to develop an AI health information bot using Python. The bot will provide reliable health information from a comprehensive knowledgebase, it can also predict multiple diseases using machine learning techniques. The system will also include a healthcare chatbot that can provide personalized health recommendations to users. It will also connect users to appropriate resources, such as local healthcare providers. The system will be developed using Python and ML libraries. Machine Learning models will be trained on public datasets to predict diseases accurately. The healthcare chatbot will be developed with NLP (Natural Language Processing) to provide health recommendations to users. The healthcare chatbot can provide accessible and personalized. Health recommendations, leading to a healthier and happier life. The increasing demand for accessible health care information has led to the development of AI-driven solutions capable of providing timely assistance to patients. This project presents an AI Health care Bot System designed to enhance patient engagement and streamline the healthcare process. Built using Python, the system leverages natural language processing (NLP) and machine learning algorithms to interact with users in a conversational manner, offering personalized health information, symptom analysis, and medication reminders. The bot is integrated with a comprehensive medical database, enabling it to answer queries related to medical conditions, treatments, and preventive care. Through user-friendly interfaces, patients can easily access information, reducing the burden on healthcare professionals and improving patient satisfaction. The project also emphasizes data privacy and security, ensuring that user interactions are protected. Preliminary testing indicates that the AI Healthcare Bot significantly improves response times and user experience in healthcare inquiries. This system represents a step towards integrating AI technologies in health care, aiming to facilitate better health management and empower patients in their healthcare journey.
PROBLEM STATEMENT: The primary challenge is to develop an innovative healthcare system that leverages advanced machine learning techniques to accurately predict multiple diseases and provide personalized health recommendations through an accessible and user-friendly chatbot interface. The system needs to maintain high accuracy, speed, resource efficiency, stability, and simplicity while being scalable and available to a large population.
OBJECTIVES
1.	To Create awareness and educate user about disease prevention through chatbot.
2.	To offer accurate and relevent health information based on user input.
3.	To offer accessible healthcare recommendation, improving user lead healthier and happier lives.},
        keywords = {Artificial intelligence; Chatbot; Disease prediction; Machine learning; Natural language processing; Python.},
        month = {April},
        }