MULTILINGUAL AI-BASED HEALTHCARE CHATBOT USING FASTAPI: A SECURE FRAMEWORK FOR TRANSLATION, HEALTH MONITORING, AND REAL-TIME ALERTS
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The rapid digitalization of medical services has amplified the need for accessible, secure, and highly responsive automated healthcare assistants. This paper presents the design, development, and hypothetical evaluation of a multilingual AI-based healthcare chatbot orchestrated through a high-performance FastAPI backend. The primary problem addressed is the persistent language barrier in digital health applications, coupled with the lack of integrated, real-time health monitoring and alert systems in conventional chatbots. To overcome these limitations, our methodology utilizes a modular architecture encompassing natural language processing (NLP), real-time language translation, and secure persistent storage using SQLite. User inputs are dynamically translated, processed by an AI engine for medical intent recognition, and evaluated against predefined clinical thresholds to trigger automated alerts. Simulated benchmarking of the proposed system demonstrates that leveraging a lightweight, Python-based REST service facilitates low-latency inference while maintaining high throughput for concurrent users. The results indicate that this framework not only broadens accessibility for non-native speakers but also serves as a robust foundation for real-time clinical decision support. Ultimately, this research provides a scalable blueprint for deploying privacy-centric, multilingual healthcare chatbots in diverse demographic settings.
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Patil, B., Thorave, K. & Tingre, A. (2026). Multilingual AI-Based Healthcare Chatbot using FastAPI: A Secure Framework for Translation, Health Monitoring, and Real-Time Alerts. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.175
Patil, Bramhdev, et al.. "Multilingual AI-Based Healthcare Chatbot using FastAPI: A Secure Framework for Translation, Health Monitoring, and Real-Time Alerts." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.175.
Patil, Bramhdev,Kunal Thorave, and Atharva Tingre. "Multilingual AI-Based Healthcare Chatbot using FastAPI: A Secure Framework for Translation, Health Monitoring, and Real-Time Alerts." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.175.
References
2.Sorstkins, Andrejs, "Assessing RAG and HyDE on 1B 4B-Parameter Gemma LLMs for PersonalAssistants Integretion," 2025. https://arxiv.org/pdf/2506.21568v1
3.Chakravorty, Amitabh, Price, Matthew, Elsayed, Nelly, ElSayed, Zag, "Context-Aware Phishing EmailDetection Using Machine Learning and NLP," 2026. https://arxiv.org/pdf/2603.27326v1
4.Lopes, André Davi, Mello, Tais, Bezerra, Wesley dos Reis, "Digital identity management system withblockchain:An implementation with Ethereum and Ganache," 2025. https://arxiv.org/pdf/2507.21398v1
5.Haddad, Rami, Malki, Rim El, Cozma, Daniel, "OpenAPI Specification Extended Security Scheme: Amethod to reduce the prevalence of Broken Object Level Authorization," 2022. https://arxiv.org/pdf/2212.06606v3
6.Hamdi, Mustapha, Jabou, Mourad, "Green MLOps: Closed-Loop, Energy-Aware Inference with NVIDIA Triton, FastAPI, and Bio-Inspired Thresholding," 2026. https://arxiv.org/pdf/2601.04250v1
7.Zhang, Peng, "RepoReviewer: A Local-First Multi-Agent Architecture for Repository-Level CodeReview," 2026. https://arxiv.org/pdf/2603.16107v1
8.Zhang, Peng, "ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and RelatedWork Drafting," 2026. https://arxiv.org/pdf/2603.14629v1
9.Pasha, Imad, Chen, Seery, Lokhorst, Deborah, Bowman, William , Shen, Zili, Liu, Qing, Malakhov,Evgeni I., Abraham, Roberto, Dokkum, Pieter G. van, "Software infrastructure for the highly-distributed semi-autonomous Dragonfly Spectral Line Mapper," 2024. https://arxiv.org/pdf/2406.15301v1
10.Jasim, K. M., Malathi, A., Bhardwaj, S., & Aw, E. C. X. (2025). A systematic review of AI-based chatbot usages in healthcare services. Journal of Health Organization and Management.
https://pubmed.ncbi.nlm.nih.gov/39865955/
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