Volume no :
10 |
Issue no :
1
Article Type :
Google Scholar
Author :
Mr.S.JayaPrakash, Hemanth Yash R, Madhan M, Harish J
Published Date :
26 - March - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 9
Abstract : Access to reliable and immediate healthcare information remains a major challenge, particularly in situations where medical professionals are not readily available. Many individuals depend on unverified online sources, which can lead to misinformation, confusion, and poor health decisions. Additionally, language barriers further restrict access to healthcare information, especially for regional users. To address these issues, this project proposes an AI-driven Public Health Chatbot that provides real-time, accurate, and accessible healthcare assistance through a mobile-based application. The chatbot is developed using Flutter for cross-platform mobile compatibility and utilizes Large Language Models through the OpenRouter API for intelligent response generation. This enables the system to simulate human-like conversation and provide meaningful healthcare guidance instantly.A key feature of the system is its multilingual capability, achieved through the integration of the MyMemory translation API. This allows chatbot responses to be translated into Tamil, improving accessibility for regional users and ensuring inclusivity in digital healthcare communication. The system follows a modular and scalable architecture, enabling seamless interaction between the user interface, AI processing module, and external APIs.The chatbot is designed with a simple and user-friendly interface, allowing users to easily interact and receive responses in real time. It supports continuous interaction and ensures efficient handling of healthcarerelated queries. Although the system does not replace professional medical consultation, it serves as a supportive tool for basic healthcare awareness and guidance..Overall, the proposed Health Chatbot enhances accessibility, reduces dependency on traditional healthcare systems for minor queries, and promotes digital healthcare awareness using modern AI technologies.
Keyword Health Chatbot, Artificial Intelligence, Large Language Models, Flutter, Groq API, Mobile Application, Healthcare Assistance, bilingual System
Reference:

1. Deepa, R., Karthick, R., Velusamy, J., & Senthilkumar, R. (2025). Performance analysis of multipleinput
multiple-output orthogonal frequency division multiplexing system using arithmetic optimization
algorithm. Computer Standards & Interfaces, vol. 92, p. 103934.
2. Senthilkumar, R., Venkatakrishnan, P., & Balaji, N. (2020). Intelligent based novel embedded system
based IoT enabled air pollution monitoring system. Microprocessors and Microsystems, vol. 77,
Elsevier.
3. Muthalakshmi, M., Mythili, N., Gurkirpal Singh, & Senthilkumar, R. (2025). Innovative approaches for
evaluating sugarcane quality: Utilizing near-infrared spectroscopy to forecast Brix, Pol, and Fiber
content in commercial agricultural domains. Journal of Food Processing, Wiley.
https://doi.org/10.1111/jfpe.70233
4. Senthilkumar, R., Ramachandraarjunan, S., Venkatakrishnan, P., & Balaji, N. (2022). IoT based
artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques.
Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 2853–2868.
5. Nagarani, N., Muthalakshmi, M., Vinothkumar, E. S., & Senthilkumar, R. (2026). Optimized
contrastive multi-level graph neural networks-based pigment epithelial detachment detection in OCT
images. International Journal of Information Technology & Decision Making, World Scientific.
https://doi.org/10.1142/S0219622026500343
6. Sanitha, P. C., Syed Nageena Parveen, Shaik Thaherbasha, Shanmugapriya, M., Kalaivani, T., &
Senthilkumar, R. (2025). Transparent nutrition: An explainable AI-based diet tracking system for
preventing nutrition-related disorders. 2025 3rd International Conference on Intelligent Cyber Physical
Systems and Internet of Things (ICoICI). https://doi.org/10.1109/ICoICI65217.2025.11252549
7. Jayasri, T., Archana Jenis, M. R., Aswathy, P. B., Manoranjitham, S., George, C., & Senthilkumar, R.
(2025). Identity-first defense in zero trust security architecture to protect cyberspace. 2025 3rd
International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI).
https://doi.org/10.1109/ICoICI65217.2025.11254505
8. Uthayakumar, J., Swapna, Ravikumar, A., Sreeraj, S., Senthilkumar, R., & Pandipati, B. (2025). AIdriven
water resource management systems. 2025 2nd International Conference on Computing and
Data Science (ICCDS). https://doi.org/10.1109/ICCDS64403.2025.11209318
9. Swathiramya, R., Karthikeyan, V. V., Sumathi, P., Sruthy, K. V., Afreen Hussain, & Senthilkumar, R.
(2025). Multimodal machine learning models for intelligent interpretation of text, image and audio
inputs. 2025 5th International Conference on Emerging Research in Electronics, Computer Science and
Technology (ICERECT). https://doi.org/10.1109/ICERECT65215.2025.11377322
10. Srinju, M., Dhanasekaran, V., Guruprasath, S., Edison Prabhu, K., Godlin Debby, K. J., &
Senthilkumar, R. (2025). AI-based recommendation system for weight management using user
feedback and health metrics. 2025 5th International Conference on Emerging Research in Electronics,
Computer Science and Technology (ICERECT).
https://doi.org/10.1109/ICERECT65215.2025.11379842
11. Kumar, A., & Singh, R. (2020). IoT based smart waste management system. International Journal of
Engineering Research.
12. Gupta, S., & Verma, M. (2019). Automated waste segregation using Arduino. IEEE Conference on
Smart Systems.
13. Patel, R., et al. (2021). Sensor based automatic waste sorting system. Journal of Environmental
Engineering.
14. Ramesh, T., & Prakash, K. (2022). Smart waste monitoring using IoT. International Journal of Smart
City Applications.
15. Sharma, M., & Kumar, V. (2020). Smart city waste management technologies. IEEE Internet of Things
Journal.
16. Singh, P. (2021). Embedded systems for smart waste management. International Journal of Electronics
and Communication.
17. Zhang, L., et al. (2020). IoT based environmental monitoring systems. IEEE Sensors Journal.
18. Rao, S., & Nair, P. (2021). Automation in waste segregation systems. International Journal of
Automation Technology.