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@article{184857,
        author = {TIRUMALA SREE VAISHNAVI and Y. Shashidhar Reddy and T. Sai Kiran Reddy and Dr Ruqsar Zaitoon},
        title = {CAREBOT: COMPUTER-AIDED SUGGESTIONS ON THE PATIENT'S HEALTH CONDITION AND TREATMENT PLANNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {3794-3799},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184857},
        abstract = {CareBot is a smart healthcare assistant that uses ML to make computer-aided suggestions about a patient's health state and possible treatment plans.  The system uses many datasets with question-answer pairs and ML methods from the “Scikit-learn (SKLEARN)” library and the ChatterBot framework for processing natural language.  CareBot is built on a Flask-based web server and access is easy through an automated web interface that lets users connect without any problems.  The main ML model takes in user input and comes up with relevant answers. Based on reported symptoms, it gives both diagnostic and personalized treatment suggestions.  The conversational engine has been taught to understand medical questions, answer them in a useful way, and lead users through structured, interactive conversations.  The system is made to be accessed through the web, so people can ask questions about their health and get real-time answers about their condition and possible next steps.  The success of the system depends on the quality of its training data. Regular updates make the system more accurate and flexible.  CareBot makes healthcare more accessible by lowering the need for human help in initial health assessments. It does this by providing an easy-to-use and intuitive platform for planning treatment.},
        keywords = {CareBot, Machine Learning, Natural Language Processing (NLP), Health Assessment, Treatment Planning, Flask Web Interface.},
        month = {September},
        }