AI-Driven Smart Healthcare Assistant

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 1, pp. 34-44, January 2026.

https://doi.org/10.58482/ijersem.v2i1.6

This work is licensed under a Creative Commons Attribution 4.0 International License.

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AI-Driven Smart Healthcare Assistant

V. Gopi

M. Ramya

N. Mahathi Saisree

V. Aravind Kumar Reddy

K. Vishnu Vardhan

K. Yaswanth Yadav

Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract: The AI-powered healthcare assistant is designed to support individuals in understanding medical information and improving overall health management. A common challenge faced by patients is the inability to clearly interpret medical prescriptions, especially when they are handwritten, unclear, or rewritten, which often leads to medication errors and health risks. The proposed system addresses this issue by automatically analyzing prescriptions and translating them into simple, user-friendly explanations. It provides precise details about prescribed medicines, including their purpose, dosage instructions, and safety precautions, thereby enhancing patient awareness and reducing misunderstanding. Beyond prescription interpretation, the system offers personalized wellness and lifestyle recommendations based on user-specific inputs. These recommendations include dietary suggestions, exercise plans, and healthy daily habits to support long-term physical well-being. By delivering tailored guidance, the system enables users to take a more active role in maintaining their health.An innovative aspect of the project is its voice-based analysis module, which examines speech patterns to detect indicators of stress, anxiety, or emotional imbalance. This feature enables early identification of potential mental health concerns and promotes timely intervention. By integrating physical health assistance with proactive mental health monitoring, the proposed system provides a comprehensive, intelligent, and user-centric healthcare solution.

Keywords: Artificial Intelligence, Deep Learning, Machine learning, Healthcare Assistant.

References: 

  1. M. A. Haque and H. R. Siddique, “Generative artificial intelligence and large language models in smart healthcare applications: Current status and future perspectives,” Computational Biology and Chemistry, vol. 120, no. Pt 1, p. 108611, Jul. 2025, doi: 10.1016/j.compbiolchem.2025.108611.
  2. A. Rawat, R. Verma, and N. Dhanda, “AI-based blockchain for smart healthcare system,” in Elsevier eBooks, 2025, pp. 273–288. doi: 10.1016/b978-0-443-36434-1.00022-7.
  3. R. Salama and F. Al-Turjman, “Machine learning and AI for the smart healthcare,” in Elsevier eBooks, 2025, pp. 37–45. doi: 10.1016/b978-0-443-34226-4.00003-4.
  4. B. K. M. Wong, S. Vengusamy, and T.-Y. Lim, “Smart healthcare: Setting the new norm moving forward,” in Elsevier eBooks, 2025, pp. 27–54. doi: 10.1016/b978-0-443-27444-2.00004-6.
  5. J. B. Awotunde, C. Chakraborty, M. AbdulRaheem, R. G. Jimoh, I. D. Oladipo, and A. K. Bhoi, “Internet of medical things for enhanced smart healthcare systems,” in Elsevier eBooks, 2023, pp. 1–28. doi: 10.1016/b978-0-323-91916-6.00009-6.
  6. A. Corsi, F. F. De Souza, R. N. Pagani, and J. L. Kovaleski, “Ultimate approach and technologies in smart healthcare: A broad systematic review focused on citizens,” Smart Health, vol. 26, p. 100310, Aug. 2022, doi: 10.1016/j.smhl.2022.100310.
  7. M. AbdulRaheem, I. D. Oladipo, A. González-Briones, J. B. Awotunde, A. R. Tomori, and R. G. Jimoh, “An efficient lightweight speck technique for edge-IoT-based smart healthcare systems,” in Elsevier eBooks, 2022, pp. 139–162. doi: 10.1016/b978-0-323-90548-0.00005-x.
  8. S. K. Shahzad, D. Ahmed, M. R. Naqvi, M. T. Mushtaq, M. W. Iqbal, and F. Munir, “Ontology driven smart health service integration,” Computer Methods and Programs in Biomedicine, vol. 207, p. 106146, May 2021, doi: 10.1016/j.cmpb.2021.106146.
  9. R. K. Bhadoria, J. Saha, S. Biswas, and C. Chowdhury, “IoT-based location-aware smart healthcare framework with user mobility support in normal and emergency scenario: a comprehensive survey,” in Elsevier eBooks, 2020, pp. 137–161. doi: 10.1016/b978-0-12-819664-9.00007-7.
  10. R. Patan, G. S. P. Ghantasala, R. Sekaran, D. Gupta, and M. Ramachandran, “Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system,” Sustainable Cities and Society, vol. 59, p. 102141, Apr. 2020, doi: 10.1016/j.scs.2020.102141.
  11. V. Gopi, C. Vedhasree, K. V. V. Reddy, K. R. Sai, S. Nishitha, and S. E. Reddy, “Development of Sign Language Translator based on Gesture-to-Word Conversion,” International Journal of Emerging Research in Science Engineering and Management, vol. 1, no. 6, pp. 63–69, Dec. 2025, doi: 10.58482/ijersem.v1i6.8.
  12. A. Bohr and K. Memarzadeh, “The rise of artificial intelligence in healthcare applications,” in Elsevier eBooks, 2020, pp. 25–60. doi: 10.1016/b978-0-12-818438-7.00002-2.
  13. A. Surekha, S. Sandhya, M. S. Jeeva, B. Mahesh, K. M. Dhanvanthar, and S. S. Valli, “Women’s Safety Device with GPS Tracking and Alerts,” International Journal of Emerging Research in Science Engineering and Management, vol. 1, no. 6, pp. 1–10, Dec. 2025, doi: 10.58482/ijersem.v1i6.1.
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This article is part of Volume 2, Issue 1 (January 2026)