Niramaya – An AI Powered Health Assistant

DOI

10.2991/978-94-6239-693-7_21How to use a DOI?

Keywords

Machine Learning; Deep Learning; Convolutional Neural Network; Skin Disease Detection; Asthma Risk Prediction; Chatbot; Natural Language Processing

Abstract

Niramaya-AI is an intelligent health assistant designed to support preventive healthcare and early diagnosis by combining image-based skin disease detection, asthma risk prediction, and chatbot interaction within a single platform. The system is developed as an accessible and user-friendly application that allows individuals to upload skin images or record symptoms through text or voice input for health assessment. The implementation of Niramaya-AI employed Python and several open-source frameworks, including Streamlit for interface design, OpenCV for image processing, and established deep learning libraries for model development. Niramaya-AI addresses the gaps in accessibility and the timeliness of the intervention of care for patients, and the evaluation showed promising accuracies to classify skin-diseases and assessed reliable levels of risk for asthma. The results highlight the potential of the system to promote proactive health monitoring, demonstrate scalability for broader healthcare integration, and establish a dependable preventive-care routine. The evaluation and research findings in this study also highlighted deployment-studies considerations for data privacy, stakeholder engagement, and future recommendations of enhancing the application to include wearable sensors and a multilingual component.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - S. Sujitha
AU  - K. Venkata Jesmitha
AU  - K. Sai Jaideep
AU  - M. Reeshma
AU  - R. Swetha
PY  - 2026
DA  - 2026/06/16
TI  - Niramaya – An AI Powered Health Assistant
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 195
EP  - 206
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_21
DO  - 10.2991/978-94-6239-693-7_21
ID  - Sujitha2026
ER  -