AI Powered Personal Health Assistant

Sivapuram Lakshmi Poojitha, Jakkulety Sindhu, Gunda Lakshmi Jyoshna, Nara Indu Priya, Ravi Bolleddula

2025

Abstract

The development of sophisticated healthcare system that increase the accuracy level of predicting illness based on logistic regression and decision tree algorithm is the aim in this project. Depending on how well you clean the dataset (missing values, categorical data encoding and getting rid of unnecessary variables) the model's performance will reduce. The system will also include predictive analytics and an interactive multilingual chatbot that can understand both voice and text in English as well as Tamil. This roundup of digital health apps and chatbots offering advice and support to people during the COVID-19 pandemic will help users find information that is vetted by doctors and vetted for accuracy.AI that creates: including systems like ChatGPT, DALL·E, and Bard Rush to contribute: in everyday life and for health Internists are receiving a COVID-19 mass hysteria data dump: we need them finding the most important info amidst it all AI that creates Those who continue with work and home needs while trying to build new things are using services such as ChatGPT or DALL·E. Medical AI can help process imaging data, design treatments and expedite clinical trials. Furthermore, AI-based applications are changing medicine education, simulation and rehabilitation. However, the challenges remain especially in privacy of data, bias reduction and retaining medical professional expertise.The proposed project aims at an advanced, fully integrated AI-enabled healthcare framework using a combination of predictive modeling, conversational intelligence and ethical AI design that offers personalized and accurate medical advice in an accessible way to the masses for improved healthcare service delivery in the era of artificial intelligence.

Paper Citation

in Harvard Style

Poojitha S., Sindhu J., Jyoshna G., Priya N. and Bolleddula R. (2025). AI Powered Personal Health Assistant. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 767-772. DOI: 10.5220/0013920500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sivapuram Poojitha and Jakkulety Sindhu and Gunda Jyoshna and Nara Priya and Ravi Bolleddula},
title={AI Powered Personal Health Assistant},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={767-772},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013920500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI Powered Personal Health Assistant
SN - 978-989-758-777-1
AU - Poojitha S.
AU - Sindhu J.
AU - Jyoshna G.
AU - Priya N.
AU - Bolleddula R.
PY - 2025
SP - 767
EP - 772
DO - 10.5220/0013920500004919
PB - SciTePress