SymptoTrackAI: Hybrid RAG Chatbot for Symptom Monitoring
SymptoTrackAI is an advanced AI-powered symptom-tracking chatbot that enables users to analyze and monitor their health. The system ensures accurate and personalized health insights by integrating Hybrid RetrievalAugmented Generation (RAG), FAISS (Facebook AI Similarity Search)-based semantic search, and Neural Reranking models. The chatbot enhances symptom tracking by identifying patterns, potential triggers (e.g., stress, diet, weather), and preventive recommendations based on logged data. Additionally, query expansion (HyDE) - Hypothetical Document Embedding improves symptom understanding and delivers more precise medical predictions. With real-time query processing, offline functionality, and GPU-optimized Performance, SymptoTrackAI offers fast and transparent health monitoring while ensuring user privacy. This innovative approach transforms automated medical consultations, improving early disease detection and personalized healthcare decision-making.
Authors
- Manyam Thaile
- Medikonda Asha Kiran (ORCID: https://orcid.org/0000-0002-7760-2902)
- Ramesh Babu Pittala (ORCID: https://orcid.org/0000-0003-2420-8183)
- Ontela Srinitha
- Patturi Ankitha
- Belide Akshith
Institutions
- Advanced Numerical Research and Analysis Group (IN)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/conit65521.2025.11167709
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00