• Shubhangi Goswami
• Devarshi Kashiwala
• Madhvi Bera

Healthcare has become a growing concern with the rise of diverse diseases and mental health challenges. However, seeking medical consultation can often be time-consuming and costly. In today’s technology-driven era, where everything from clothing and food to software and services is accessible online, why not simplify healthcare too? Introducing HealthEase – A Comprehensive Web Application, designed to provide medical and mental health diagnosis. By bridging the gap between technology and healthcare, HealthEase aims to revolutionize how individuals manage their well-being, fostering a proactive approach to health. Leveraging cutting-edge technologies such as machine learning, natural language processing (NLP), Power BI, and a streamlined interface, HealthEase enables users to self-diagnose a range of health issues and offers a robust platform for personalized health solutions. Beyond diagnosis, the application focuses on mental well-being and features a dynamic health dashboard, including expert support, to help users monitor and improve their overall health. This research paper delves into the innovative and critical elements of digitally-focused medical assistance that HealthEase seeks to provide.

AI/ML, Digital Health, NLP, OCR, Sentiment Analysis

"HealthEase", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.157-172, December-2025, Available :http://www.jetir.org/papers/JETIRHE06020.pdf

"HealthEase", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. pp157-172, December-2025, Available at : http://www.jetir.org/papers/JETIRHE06020.pdf